Jan Peters - RankMe

781 papers A* 90A 83B 17C 9Misc 17Journal 444Unranked 107

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Safety-Aware Shared Autonomy Framework with BarrierIK Using Control Barrier Functions. CoRR Berk Guler, Kay Pompetzki, Yuanzheng Sun, Simon Manschitz, Jan Peters
2026	J	`jnl`	A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations. IEEE Trans. Robotics Julen Urain, Ajay Mandlekar, Yilun Du, Nur Muhammad (Mahi) Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters
2026	J	`jnl`	CompliantVLA-adaptor: VLM-Guided Variable Impedance Action for Safe Contact-Rich Manipulation. CoRR Heng Zhang, Wei-Hsing Huang, Qiyi Tong, Gökhan Solak, Puze Liu, Sheng Liu, Jan Peters, Arash Ajoudani
2026	J	`jnl`	DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. IEEE Robotics Autom. Lett. Khang Nguyen, An T. Le, Jan Peters, Minh Nhat Vu
2026	J	`jnl`	GaussTwin: Unified Simulation and Correction with Gaussian Splatting for Robotic Digital Twins. CoRR Yichen Cai, Paul Jansonnie, Cristiana de Farias, Oleg Arenz, Jan Peters
2026	J	`jnl`	Gradient Iterated Temporal-Difference Learning. CoRR Théo Vincent, Kevin Gerhardt, Yogesh Tripathi, Habib Maraqten, Adam White, Martha White, Jan Peters, Carlo D'Eramo
2026	J	`jnl`	Mathematical Foundations of Modeling ETL Process Chains. CoRR Levin Maier, Lucas Schulze, Robert Lilow, Lukas Hahn, Nikola Krasowski, Arnulf Barth, Sebastian Gaebel, Ferdi Güran, Oliver Hanau, Giovanni Wagner, Falk Borgmann, Oleg Arenz, Jan Peters
2026	A*	`conf`	Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint). AAAI João Carvalho, An Thai Le, Piotr Kicki, Dorothea Koert, Jan Peters
2026	J	`jnl`	Neuromorphic BrailleNet: Accurate and Generalizable Braille Reading Beyond Single Characters through Event-Based Optical Tactile Sensing. CoRR Naqash Afzal, Niklas Funk, Erik Helmut, Jan Peters, Benjamin Ward-Cherrier
2026	J	`jnl`	On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. IEEE Robotics Autom. Lett. Niklas Funk, Changqi Chen, Tim Schneider, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2026	J	`jnl`	Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces. CoRR Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters
2026	J	`jnl`	StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert
2025	J	`jnl`	Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach. CoRR Tim Schneider, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters
2025	J	`jnl`	Adaptive Control Based Friction Estimation for Tracking Control of Robot Manipulators. IEEE Robotics Autom. Lett. Junning Huang, Davide Tateo, Puze Liu, Jan Peters
2025	A*	`conf`	Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. ICLR Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
2025	J	`jnl`	An Anatomy of Vision-Language-Action Models: From Modules to Milestones and Challenges. CoRR Chao Xu, Suyu Zhang, Yang Liu, Baigui Sun, Weihong Chen, Bo Xu, Qi Liu, Juncheng Wang, Shujun Wang, Shan Luo, Jan Peters, Athanasios V. Vasilakos, Stefanos Zafeiriou, Jiankang Deng
2025	J	`jnl`	Ark: An Open-source Python-based Framework for Robot Learning. CoRR Magnus Dierking, Christopher E. Mower, Sarthak Das, Helong Huang, Jiacheng Qiu, Cody Reading, Wei Chen, Huidong Liang, Guowei Huang, Jan Peters, Xingyue Quan, Jun Wang, Haitham Bou-Ammar
2025	C	`conf`	Bayesian Inverse Physics for Neuro-Symbolic Robot Learning. NeSy Octavio Arriaga, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner
2025	J	`jnl`	Bayesian Inverse Physics for Neuro-Symbolic Robot Learning. CoRR Octavio Arriaga, Rebecca Adam, Melvin Laux, Lisa Gutzeit, Marco Ragni, Jan Peters, Frank Kirchner
2025	A	`conf`	Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations. IROS Maximilian Stasica, Arne Bick, Nico Bohlinger, Omid Mohseni, Max Johannes Alois Fritzsche, Clemens Hübler, Jan Peters, André Seyfarth
2025	J	`jnl`	Bridge the Gap: Enhancing Quadruped Locomotion with Vertical Ground Perturbations. CoRR Maximilian Stasica, Arne Bick, Nico Bohlinger, Omid Mohseni, Max Johannes Alois Fritzsche, Clemens Hübler, Jan Peters, André Seyfarth
2025	J	`jnl`	Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning. CoRR Théo Vincent, Yogesh Tripathi, Tim Lukas Faust, Yaniv Oren, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference. CoRR Jiayun Li, Kay Pompetzki, An T. Le, Haolei Tong, Jan Peters, Georgia Chalvatzaki
2025	A	`conf`	Context-Aware Deep Lagrangian Networks for Model Predictive Control. IROS Lucas Schulze, Jan Peters, Oleg Arenz
2025	J	`jnl`	Context-Aware Deep Lagrangian Networks for Model Predictive Control. CoRR Lucas Schulze, Jan Peters, Oleg Arenz
2025	A*	`conf`	DIME: Diffusion-Based Maximum Entropy Reinforcement Learning. ICML Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palenicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann
2025	J	`jnl`	DIME:Diffusion-Based Maximum Entropy Reinforcement Learning. CoRR Onur Celik, Zechu Li, Denis Blessing, Ge Li, Daniel Palanicek, Jan Peters, Georgia Chalvatzaki, Gerhard Neumann
2025	J	`jnl`	Deep Reinforcement Learning Agents are not even close to Human Intelligence. CoRR Quentin Delfosse, Jannis Blüml, Fabian Tatai, Théo Vincent, Bjarne Gregori, Elisabeth Dillies, Jan Peters, Constantin A. Rothkopf, Kristian Kersting
2025	J	`jnl`	Discrete Variational Autoencoding via Policy Search. CoRR Michael Drolet, Firas Al-Hafez, Aditya Bhatt, Jan Peters, Oleg Arenz
2025	J	`jnl`	DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. CoRR Khang Nguyen, An T. Le, Jan Peters, Minh Nhat Vu
2025	J	`jnl`	Eau De CoRR Théo Vincent, Tim Lukas Faust, Yogesh Tripathi, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI. CoRR Fei Ni, Min Zhang, Pengyi Li, Yifu Yuan, Lingfeng Zhang, Yuecheng Liu, Peilong Han, Longxin Kou, Shaojin Ma, Jinbin Qiao, David Gamaliel Arcos Bravo, Yuening Wang, Xiao Hu, Zhanguang Zhang, Xianze Yao, Yutong Li, Zhao Zhang, Ying Wen, Ying-Cong Chen, Xiaodan Liang, Liang Lin, Bin He, Haitham Bou-Ammar, He Wang, Huazhe Xu, Jiankang Deng, Shan Luo, Shuqiang Jiang, Wei Pan, Yang Gao, Stefanos Zafeiriou, Jan Peters, Yuzheng Zhuang, Yingxue Zhang, Yan Zheng, Hongyao Tang, Jianye Hao
2025	J	`jnl`	Entropy based blending of policies for multi-agent coexistence. Auton. Agents Multi Agent Syst. David Rother, Franziska Herbert, Fabian Kalter, Dorothea Koert, Joni Pajarinen, Jan Peters, Thomas H. Weisswange
2025	J	`jnl`	Fast and Robust Visuomotor Riemannian Flow Matching Policy. IEEE Trans. Robotics Haoran Ding, Noémie Jaquier, Jan Peters, Leonel Rozo
2025	J	`jnl`	Floating-Base Deep Lagrangian Networks. CoRR Lucas Schulze, Juliano Negri, Victor Barasuol, Vivian Suzano Medeiros, Marcelo Becker, Jan Peters, Oleg Arenz
2025	A	`conf`	FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. IROS Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu
2025	J	`jnl`	FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. CoRR Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu
2025	A	`conf`	Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. IROS Nico Bohlinger, Jonathan Kinzel, Daniel Palenicek, Lukasz Antczak, Jan Peters
2025	J	`jnl`	Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion. CoRR Nico Bohlinger, Jonathan Kinzel, Daniel Palenicek, Lukasz Antczak, Jan Peters
2025	J	`jnl`	Global Tensor Motion Planning. IEEE Robotics Autom. Lett. An T. Le, Kay Pompetzki, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
2025	J	`jnl`	In-Hand Object Pose Estimation via Visual-Tactile Fusion. CoRR Felix Nonnengießer, Alap Kshirsagar, Boris Belousov, Jan Peters
2025	A*	`conf`	Inverse decision-making using neural amortized Bayesian actors. ICLR Dominik Straub, Tobias F. Niehues, Jan Peters, Constantin A. Rothkopf
2025	J	`jnl`	Investigating Active Sampling for Hardness Classification with Vision-Based Tactile Sensors. CoRR Junyi Chen, Alap Kshirsagar, Frederik Heller, Mario Gomez Andreu, Boris Belousov, Tim Schneider, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Jan Peters
2025	J	`jnl`	Investigating the Effect of LED Signals and Emotional Displays in Human-Robot Shared Workspaces. CoRR Maria Ibrahim, Alap Kshirsagar, Dorothea Koert, Jan Peters
2025	J	`jnl`	Iterated Trans. Mach. Learn. Res. Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	LODGE: Joint Hierarchical Task Planning and Learning of Domain Models with Grounded Execution. CoRR Claudius Kienle, Benjamin Alt, Oleg Arenz, Jan Peters
2025	A	`conf`	Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis. IROS Erik Helmut, Luca Dziarski, Niklas Funk, Boris Belousov, Jan Peters
2025	J	`jnl`	Learning Multimodal Latent Dynamics for Human-Robot Interaction. IEEE Trans. Robotics Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2025	J	`jnl`	Learning what to say and how precisely: Efficient Communication via Differentiable Discrete Communication Learning. CoRR Aditya Kapoor, Yash Bhisikar, Benjamin Freed, Jan Peters, Mingfei Sun
2025	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. Trans. Mach. Learn. Res. Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2025	J	`jnl`	Massively Scaling Explicit Policy-conditioned Value Functions. CoRR Nico Bohlinger, Jan Peters
2025	A*	`conf`	Maximum Total Correlation Reinforcement Learning. ICML Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
2025	J	`jnl`	Maximum Total Correlation Reinforcement Learning. CoRR Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz
2025	J	`jnl`	Model Tensor Planning. CoRR An T. Le, Khai Nguyen, Minh Nhat Vu, João Carvalho, Jan Peters
2025	J	`jnl`	Model Tensor Planning. Trans. Mach. Learn. Res. An Thai Le, Khai Nguyen, Minh Nhat Vu, Joao Carvalho, Jan Peters
2025	J	`jnl`	Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models. IEEE Trans. Robotics João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, Jan Peters
2025	J	`jnl`	Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization. CoRR Nico Bohlinger, Jan Peters
2025	A*	`conf`	Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning. ICRA Leon Keller, Daniel Tanneberg, Jan Peters
2025	J	`jnl`	Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning. CoRR Leon Keller, Daniel Tanneberg, Jan Peters
2025	A*	`conf`	Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. ICLR Anish Abhijit Diwan, Julen Urain, Jens Kober, Jan Peters
2025	J	`jnl`	Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation. CoRR Anish Abhijit Diwan, Julen Urain, Jens Kober, Jan Peters
2025	J	`jnl`	On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match Lighting. CoRR Niklas Funk, Changqi Chen, Tim Schneider, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2025	J	`jnl`	Open-ended coordination for multi-agent systems using modular open policies. Auton. Agents Multi Agent Syst. David Rother, Joni Pajarinen, Jan Peters, Thomas H. Weisswange
2025	A*	`conf`	QueryCAD: Grounded Question Answering for CAD Models. ICRA Claudius Kienle, Benjamin Alt, Darko Katic, Rainer Jäkel, Jan Peters
2025	J	`jnl`	ROSCOM: Robust Safe Reinforcement Learning on Stochastic Constraint Manifolds. IEEE Trans Autom. Sci. Eng. Shangding Gu, Puze Liu, Alap Kshirsagar, Guang Chen, Jan Peters, Alois Knoll
2025	J	`jnl`	Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition. CoRR Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Jean Seong Bjorn Choe, BumKyu Choi, Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Marco Calì, Alberto Sinigaglia, Giulio Giacomuzzo, Diego Romeres, Jong-Kook Kim, Gian Antonio Susto, Shubham Vyas, Dennis Mronga, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
2025	—	`conf`	Robust Localization, Mapping, and Navigation for Quadruped Robots. ECMR Dyuman Aditya, Junning Huang, Nico Bohlinger, Piotr Kicki, Krzysztof Walas, Jan Peters, Matteo Luperto, Davide Tateo
2025	J	`jnl`	Robust Localization, Mapping, and Navigation for Quadruped Robots. CoRR Dyuman Aditya, Junning Huang, Nico Bohlinger, Piotr Kicki, Krzysztof Walas, Jan Peters, Matteo Luperto, Davide Tateo
2025	J	`jnl`	Rollout Total Correlation for Deep Reinforcement Learning. Trans. Mach. Learn. Res. Bang You, Huaping Liu, Jan Peters, Oleg Arenz
2025	J	`jnl`	SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation. CoRR Yufeng Jin, Niklas Funk, Vignesh Prasad, Zechu Li, Mathias Franzius, Jan Peters, Georgia Chalvatzaki
2025	J	`jnl`	Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. IEEE Trans. Robotics Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
2025	J	`jnl`	Scaling CrossQ with Weight Normalization. CoRR Daniel Palenicek, Florian Vogt, Jan Peters
2025	J	`jnl`	Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization. CoRR Daniel Palenicek, Florian Vogt, Jan Peters
2025	J	`jnl`	Stable Port-Hamiltonian Neural Networks. CoRR Fabian J. Roth, Dominik K. Klein, Maximilian Kannapinn, Jan Peters, Oliver Weeger
2025	B	`conf`	Staring Down the Elevator Shaft: Postural Responses to Virtual Heights in an Indoor Environment. CogSci Tahmineh A. Koosha, Alap Kshirsagar, Nick Augustat, Fabian Hahne, Dominik Mühl, Christiane A. Melzig, Frank Bremmer, Jan Peters, Dominik M. Endres
2025	J	`jnl`	TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. CoRR Khang Nguyen, Khai Nguyen, An T. Le, Jan Peters, Manfred Huber, Ngo Anh Vien, Minh Nhat Vu
2025	J	`jnl`	Tactile MNIST: Benchmarking Active Tactile Perception. CoRR Tim Schneider, Guillaume Duret, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters
2025	J	`jnl`	Tactile-Conditioned Diffusion Policy for Force-Aware Robotic Manipulation. CoRR Erik Helmut, Niklas Funk, Tim Schneider, Cristiana de Farias, Jan Peters
2025	—	`conf`	The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation. Humanoids Sophia Bianchi Moyen, Rickmer Krohn, Sophie Lueth, Kay Pompetzki, Jan Peters, Vignesh Prasad, Georgia Chalvatzaki
2025	J	`jnl`	The Role of Embodiment in Intuitive Whole-Body Teleoperation for Mobile Manipulation. CoRR Sophia Bianchi Moyen, Rickmer Krohn, Sophie Lueth, Kay Pompetzki, Jan Peters, Vignesh Prasad, Georgia Chalvatzaki
2025	J	`jnl`	Towards Embodiment Scaling Laws in Robot Locomotion. CoRR Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I. Christensen, Jan Peters, Hao Su
2025	J	`jnl`	Towards Safe Robot Foundation Models Using Inductive Biases. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Tim Schneider, Jonas Günster, Joe Watson, Davide Tateo, Puze Liu, Jan Peters
2025	J	`jnl`	Towards Safe Robot Foundation Models. CoRR Maximilian Tölle, Theo Gruner, Daniel Palenicek, Jonas Günster, Puze Liu, Joe Watson, Davide Tateo, Jan Peters
2025	J	`jnl`	Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. Trans. Mach. Learn. Res. Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2025	J	`jnl`	Use the Online Network If You Can: Towards Fast and Stable Reinforcement Learning. CoRR Ahmed Hendawy, Henrik Metternich, Théo Vincent, Mahdi Kallel, Jan Peters, Carlo D'Eramo
2025	J	`jnl`	XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning. CoRR Daniel Palenicek, Florian Vogt, Joe Watson, Ingmar Posner, Jan Peters
2024	J	`jnl`	A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. CoRR Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor
2024	J	`jnl`	A Comparison of Imitation Learning Algorithms for Bimanual Manipulation. IEEE Robotics Autom. Lett. Michael Drolet, Simon Stepputtis, Siva Kailas, Ajinkya Jain, Jan Peters, Stefan Schaal, Heni Ben Amor
2024	—	`conf`	A Holistic Concept on AI Assistance for Robot-Supported Reconnaissance and Mitigation of Acute Radiation Hazard Situations. SSRR Kevin Daun, Frederik Bark, Davide Tateo, Jan Peters, Johannes Heinlein, Janine Wendt, Nils Heidemann, Ivana Kruijff-Korbayová, Stefan Kohlbrecher, Jens Friedrich, Désirée Martin, Michael W. Schmidt, Rafaela Hillerbrand, Oskar von Stryk
2024	J	`jnl`	A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics. CoRR Puze Liu, Jonas Guenster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Maric, Sylvain Calinon, Andrej Orsula, Miguel S. Olivares-Méndez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters
2024	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. J. Artif. Intell. Res. Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	J	`jnl`	ActionFlow: Equivariant, Accurate, and Efficient Policies with Spatially Symmetric Flow Matching. CoRR Niklas Funk, Julen Urain, Joao Carvalho, Vignesh Prasad, Georgia Chalvatzaki, Jan Peters
2024	J	`jnl`	Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators. CoRR Junning Huang, Davide Tateo, Puze Liu, Jan Peters
2024	J	`jnl`	Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning. CoRR Théo Vincent, Fabian Wahren, Jan Peters, Boris Belousov, Carlo D'Eramo
2024	J	`jnl`	Analysing the Interplay of Vision and Touch for Dexterous Insertion Tasks. CoRR Janis Lenz, Theo Gruner, Daniel Palenicek, Tim Schneider, Jan Peters
2024	J	`jnl`	Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning. J. Field Robotics Yang Weng, Sehwa Chun, Masaki Ohashi, Takumi Matsuda, Yuki Sekimori, Joni Pajarinen, Jan Peters, Toshihiro Maki
2024	B	`conf`	Balancing on the Edge: Review and Computational Framework on the Dynamics of Fear of Falling and Fear of Heights in Postural Control. CogSci Ruslan Spartakov, Alap Kshirsagar, Dominik Mühl, Raphael Schween, Dominik M. Endres, Frank Bremmer, Christiane A. Melzig, Jan Peters
2024	A	`conf`	Beyond the Cascade: Juggling Vanilla Siteswap Patterns. IROS Mario Gomez Andreu, Kai Ploeger, Jan Peters
2024	J	`jnl`	Beyond the Cascade: Juggling Vanilla Siteswap Patterns. CoRR Mario Gomez Andreu, Kai Ploeger, Jan Peters
2024	Misc	`conf`	Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRL Piotr Kicki, Davide Tateo, Puze Liu, Jonas Günster, Jan Peters, Krzysztof Walas
2024	J	`jnl`	Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning. CoRR Piotr Kicki, Davide Tateo, Puze Liu, Jonas Guenster, Jan Peters, Krzysztof Walas
2024	J	`jnl`	Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features. CoRR Christoph Zelch, Jan Peters, Oskar von Stryk
2024	A*	`conf`	CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. ICLR Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2024	J	`jnl`	Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. CoRR Julen Urain, Ajay Mandlekar, Yilun Du, Mahi Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters
2024	J	`jnl`	Diminishing Return of Value Expansion Methods. CoRR Daniel Palenicek, Michael Lutter, João Carvalho, Daniel Dennert, Faran Ahmad, Jan Peters
2024	A*	`conf`	Domain Randomization via Entropy Maximization. ICLR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2024	C	`conf`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	J	`jnl`	Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag
2024	J	`jnl`	Energy-based Contact Planning under Uncertainty for Robot Air Hockey. CoRR Julius Jankowski, Ante Maric, Puze Liu, Davide Tateo, Jan Peters, Sylvain Calinon
2024	J	`jnl`	Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation. IEEE Trans. Robotics Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2024	—	`conf`	Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion. Humanoids Henri-Jacques Geiß, Firas Al-Hafez, André Seyfarth, Jan Peters, Davide Tateo
2024	J	`jnl`	Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion. CoRR Henri-Jacques Geiß, Firas Al-Hafez, André Seyfarth, Jan Peters, Davide Tateo
2024	A	`conf`	Extended Tree Search for Robot Task and Motion Planning. IROS Tianyu Ren, Georgia Chalvatzaki, Jan Peters
2024	J	`jnl`	Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks. IEEE Trans. Robotics Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters
2024	J	`jnl`	Fast and Robust Visuomotor Riemannian Flow Matching Policy. CoRR Haoran Ding, Noémie Jaquier, Jan Peters, Leonel Rozo
2024	—	`conf`	FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation. ECCV Workshops (1) Guillaume Duret, Mahmoud Ali, Nicolas Cazin, Danylo Mazurak, Anna Samsonenko, Alexandre Chapin, Florence Zara, Emmanuel Dellandréa, Liming Chen, Jan Peters
2024	J	`jnl`	Global Tensor Motion Planning. CoRR An T. Le, Kay Hansel, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
2024	J	`jnl`	Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3. CoRR Joao Carvalho, An T. Le, Philipp Jahr, Qiao Sun, Julen Urain, Dorothea Koert, Jan Peters
2024	Misc	`conf`	Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRL Jonas Günster, Puze Liu, Jan Peters, Davide Tateo
2024	J	`jnl`	Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning. CoRR Jonas Guenster, Puze Liu, Jan Peters, Davide Tateo
2024	J	`jnl`	Information-Theoretic Safe Bayesian Optimization. CoRR Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	J	`jnl`	Integrating Visuo-tactile Sensing with Haptic Feedback for Teleoperated Robot Manipulation. CoRR Noah Becker, Erik Gattung, Kay Hansel, Tim Schneider, Yaonan Zhu, Yasuhisa Hasegawa, Jan Peters
2024	J	`jnl`	Inverse decision-making using neural amortized Bayesian actors. CoRR Dominik Straub, Tobias F. Niehues, Jan Peters, Constantin A. Rothkopf
2024	J	`jnl`	Iterated Q-Network: Beyond the One-Step Bellman Operator. CoRR Théo Vincent, Daniel Palenicek, Boris Belousov, Jan Peters, Carlo D'Eramo
2024	—	`conf`	Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. HRI (Companion) Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers. CoRR Yasemin Göksu, Antonio De Almeida Correia, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Jan Peters, Georgia Chalvatzaki
2024	—	`conf`	Learning Energy-Efficient Trajectory Planning for Robotic Manipulators Using Bayesian Optimization. ECC Philipp Holzmann, Maik Pfefferkorn, Jan Peters, Rolf Findeisen
2024	J	`jnl`	Learning Force Distribution Estimation for the GelSight Mini Optical Tactile Sensor Based on Finite Element Analysis. CoRR Erik Helmut, Luca Dziarski, Niklas Funk, Boris Belousov, Jan Peters
2024	J	`jnl`	Learning Tactile Insertion in the Real World. CoRR Daniel Palenicek, Theo Gruner, Tim Schneider, Alina Böhm, Janis Lenz, Inga Pfenning, Eric Krämer, Jan Peters
2024	J	`jnl`	Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann
2024	J	`jnl`	MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions From Demonstrations. IEEE Robotics Autom. Lett. Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations. CoRR Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models. CoRR João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, Jan Peters
2024	J	`jnl`	MuJoCo MPC for Humanoid Control: Evaluation on HumanoidBench. CoRR Moritz Meser, Aditya Bhatt, Boris Belousov, Jan Peters
2024	A*	`conf`	Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. ICLR Ahmed Hendawy, Jan Peters, Carlo D'Eramo
2024	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2024	Misc	`conf`	One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. CoRL Nico Bohlinger, Grzegorz Czechmanowski, Maciej Piotr Krupka, Piotr Kicki, Krzysztof Walas, Jan Peters, Davide Tateo
2024	J	`jnl`	One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion. CoRR Nico Bohlinger, Grzegorz Czechmanowski, Maciej Krupka, Piotr Kicki, Krzysztof Walas, Jan Peters, Davide Tateo
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey T. Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante-Gomez, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin
2024	A*	`conf`	Parameterized Projected Bellman Operator. AAAI Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2024	J	`jnl`	Particle-based 6D Object Pose Estimation from Point Clouds using Diffusion Models. CoRR Christian Möller, Niklas Funk, Jan Peters
2024	A*	`conf`	Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. AAAI Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
2024	Misc	`conf`	PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations. CoRL Cheng Qian, Julen Urain, Kevin Zakka, Jan Peters
2024	J	`jnl`	PianoMime: Learning a Generalist, Dexterous Piano Player from Internet Demonstrations. CoRR Cheng Qian, Julen Urain, Kevin Zakka, Jan Peters
2024	J	`jnl`	ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar
2024	A*	`conf`	Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition. IJCAI Felix Wiebe, Niccolò Turcato, Alberto Dalla Libera, Chi Zhang, Théo Vincent, Shubham Vyas, Giulio Giacomuzzo, Ruggero Carli, Diego Romeres, Akhil Sathuluri, Markus Zimmermann, Boris Belousov, Jan Peters, Frank Kirchner, Shivesh Kumar
2024	A*	`conf`	Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. ICLR Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
2024	J	`jnl`	Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications. CoRR Puze Liu, Haitham Bou-Ammar, Jan Peters, Davide Tateo
2024	J	`jnl`	Safe and Efficient Path Planning Under Uncertainty via Deep Collision Probability Fields. IEEE Robotics Autom. Lett. Felix Herrmann, Sebastian Zach, Jacopo Banfi, Jan Peters, Georgia Chalvatzaki, Davide Tateo
2024	J	`jnl`	Safe and Efficient Path Planning under Uncertainty via Deep Collision Probability Fields. CoRR Felix Herrmann, Sebastian Zach, Jacopo Banfi, Jan Peters, Georgia Chalvatzaki, Davide Tateo
2024	J	`jnl`	Sharing Knowledge in Multi-Task Deep Reinforcement Learning. CoRR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2024	A*	`conf`	Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024	J	`jnl`	Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert
2024	—	`conf`	Task-Adapted Single-Finger Explorations of Complex Objects. EuroHaptics (1) Lisa Pui Yee Lin, Alina Böhm, Boris Belousov, Alap Kshirsagar, Tim Schneider, Jan Peters, Katja Doerschner, Knut Drewing
2024	J	`jnl`	The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control. CoRR Oleg Kaidanov, Firas Al-Hafez, Yusuf Suvari, Boris Belousov, Jan Peters
2024	A*	`conf`	Time-Efficient Reinforcement Learning with Stochastic Stateful Policies. ICLR Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
2024	—	`conf`	Transition State Clustering for Interaction Segmentation and Learning. HRI (Companion) Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	Transition State Clustering for Interaction Segmentation and Learning. CoRR Fabian Hahne, Vignesh Prasad, Alap Kshirsagar, Dorothea Koert, Ruth Maria Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2024	J	`jnl`	Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	—	`conf`	Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation. Humanoids Paul Jansonnie, Bingbing Wu, Julien Perez, Jan Peters
2024	J	`jnl`	Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation. CoRR Paul Jansonnie, Bingbing Wu, Julien Perez, Jan Peters
2024	J	`jnl`	Value-Distributional Model-Based Reinforcement Learning. J. Mach. Learn. Res. Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	J	`jnl`	Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2024	J	`jnl`	Velocity-History-Based Soft Actor-Critic Tackling IROS'24 Competition "AI Olympics with RealAIGym". CoRR Tim Lukas Faust, Habib Maraqten, Erfan Aghadavoodi, Boris Belousov, Jan Peters
2024	A*	`conf`	What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. ICRA Alina Böhm, Tim Schneider, Boris Belousov, Alap Kshirsagar, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Constantin A. Rothkopf, Jan Peters
2024	J	`jnl`	What Matters for Active Texture Recognition With Vision-Based Tactile Sensors. CoRR Alina Böhm, Tim Schneider, Boris Belousov, Alap Kshirsagar, Lisa Pui Yee Lin, Katja Doerschner, Knut Drewing, Constantin A. Rothkopf, Jan Peters
2024	A	`conf`	Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot. IROS Luca Lach, Robert Haschke, Davide Tateo, Jan Peters, Helge J. Ritter, Júlia Borràs Sol, Carme Torras
2023	J	`jnl`	A Deterministic Approximation to Neural SDEs. IEEE Trans. Pattern Anal. Mach. Intell. Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters
2023	J	`jnl`	A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. CoRR Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll
2023	J	`jnl`	A human-centered safe robot reinforcement learning framework with interactive behaviors. Frontiers Neurorobotics Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll
2023	A*	`conf`	Accelerating Motion Planning via Optimal Transport. NeurIPS An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
2023	J	`jnl`	Accelerating Motion Planning via Optimal Transport. CoRR An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters
2023	J	`jnl`	An Adaptive Human Driver Model for Realistic Race Car Simulations. IEEE Trans. Syst. Man Cybern. Syst. Stefan Löckel, Siwei Ju, Maximilian Schaller, Peter van Vliet, Jan Peters
2023	J	`jnl`	Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems. CoRR Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters
2023	J	`jnl`	Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems. Trans. Mach. Learn. Res. Andreas Look, Barbara Rakitsch, Melih Kandemir, Jan Peters
2023	—	`conf`	Clustering of Motion Trajectories by a Distance Measure Based on Semantic Features. Humanoids Christoph Zelch, Jan Peters, Oskar von Stryk
2023	J	`jnl`	Combining physics and deep learning to learn continuous-time dynamics models. Int. J. Robotics Res. Michael Lutter, Jan Peters
2023	J	`jnl`	Composable energy policies for reactive motion generation and reinforcement learning. Int. J. Robotics Res. Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2023	J	`jnl`	Continuous-Time Fitted Value Iteration for Robust Policies. IEEE Trans. Pattern Anal. Mach. Intell. Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
2023	J	`jnl`	Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning. IEEE Robotics Autom. Lett. Siwei Ju, Peter van Vliet, Oleg Arenz, Jan Peters
2023	A*	`conf`	Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. ICLR Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters
2023	J	`jnl`	Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning. CoRR Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters
2023	A	`conf`	Disentangling Interaction Using Maximum Entropy Reinforcement Learning in Multi-Agent Systems. ECAI David Rother, Thomas H. Weisswange, Jan Peters
2023	J	`jnl`	Domain Randomization via Entropy Maximization. CoRR Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
2023	J	`jnl`	Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation. CoRR Niklas Funk, Erik Helmut, Georgia Chalvatzaki, Roberto Calandra, Jan Peters
2023	J	`jnl`	Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks. CoRR Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou-Ammar, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters
2023	J	`jnl`	Function-Space Regularization for Deep Bayesian Classification. CoRR Jihao Andreas Lin, Joe Watson, Pascal Klink, Jan Peters
2023	—	`conf`	Hierarchical Policy Blending As Optimal Transport. L4DC An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki
2023	A*	`conf`	Hierarchical Policy Blending as Inference for Reactive Robot Control. ICRA Kay Hansel, Julen Urain, Jan Peters, Georgia Chalvatzaki
2023	J	`jnl`	Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures. CoRR Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
2023	A*	`conf`	LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. ICLR Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
2023	J	`jnl`	LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. CoRR Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
2023	J	`jnl`	Learning Multimodal Latent Dynamics for Human-Robot Interaction. CoRR Vignesh Prasad, Lea Heitlinger, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2023	J	`jnl`	Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. Robotics Auton. Syst. Dieter Büchler, Roberto Calandra, Jan Peters
2023	J	`jnl`	Learning-Based Design and Control for Quadrupedal Robots With Parallel-Elastic Actuators. IEEE Robotics Autom. Lett. Filip Bjelonic, Joonho Lee, Philip Arm, Dhionis V. Sako, Davide Tateo, Jan Peters, Marco Hutter
2023	J	`jnl`	Learning-based Design and Control for Quadrupedal Robots with Parallel-Elastic Actuators. CoRR Filip Bjelonic, Joonho Lee, Philip Arm, Dhionis V. Sako, Davide Tateo, Jan Peters, Marco Hutter
2023	J	`jnl`	LocoMuJoCo: A Comprehensive Imitation Learning Benchmark for Locomotion. CoRR Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
2023	J	`jnl`	Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles. CoRR Johanna Bethge, Maik Pfefferkorn, Alexander Rose, Jan Peters, Rolf Findeisen
2023	J	`jnl`	Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	A	`conf`	Model-Based Uncertainty in Value Functions. AISTATS Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	J	`jnl`	Model-Based Uncertainty in Value Functions. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	A	`conf`	Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. IROS João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters
2023	J	`jnl`	Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. CoRR João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters
2023	J	`jnl`	Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts. CoRR Ahmed Hendawy, Jan Peters, Carlo D'Eramo
2023	J	`jnl`	On the Benefit of Optimal Transport for Curriculum Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2023	J	`jnl`	PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. IEEE Trans. Pattern Anal. Mach. Intell. Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
2023	J	`jnl`	Parameterized Projected Bellman Operator. CoRR Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
2023	J	`jnl`	Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations. CoRR Cedric Derstroff, Mattia Cerrato, Jannis Brugger, Jan Peters, Stefan Kramer
2023	A	`conf`	Placing by Touching: An Empirical Study on the Importance of Tactile Sensing for Precise Object Placing. IROS Luca Lach, Niklas Funk, Robert Haschke, Séverin Lemaignan, Helge Joachim Ritter, Jan Peters, Georgia Chalvatzaki
2023	J	`jnl`	Pseudo-Likelihood Inference. CoRR Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters
2023	J	`jnl`	Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula. CoRR Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo
2023	A*	`conf`	SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion. ICRA Julen Urain, Niklas Funk, Jan Peters, Georgia Chalvatzaki
2023	A*	`conf`	Safe Reinforcement Learning of Dynamic High-Dimensional Robotic Tasks: Navigation, Manipulation, Interaction. ICRA Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
2023	J	`jnl`	Sampling-Free Probabilistic Deep State-Space Models. CoRR Andreas Look, Melih Kandemir, Barbara Rakitsch, Jan Peters
2023	A*	`conf`	Start State Selection for Control Policy Learning from Optimal Trajectories. ICRA Christoph Zelch, Jan Peters, Oskar von Stryk
2023	J	`jnl`	Time-Efficient Reinforcement Learning with Stochastic Stateful Policies. CoRR Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
2023	J	`jnl`	Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot. CoRR Luca Lach, Robert Haschke, Davide Tateo, Jan Peters, Helge J. Ritter, Júlia Borràs Sol, Carme Torras
2023	J	`jnl`	Tracking Control for a Spherical Pendulum via Curriculum Reinforcement Learning. CoRR Pascal Klink, Florian Wolf, Kai Ploeger, Jan Peters, Joni Pajarinen
2023	J	`jnl`	Value-Distributional Model-Based Reinforcement Learning. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	—	`conf`	Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation. CBS Yaonan Zhu, Shukrullo Nazirjonov, Bingheng Jiang, Jacinto Colan, Tadayoshi Aoyama, Yasuhisa Hasegawa, Boris Belousov, Kay Hansel, Jan Peters
2022	J	`jnl`	A Hierarchical Approach to Active Pose Estimation. CoRR Jascha Hellwig, Mark Baierl, João Carvalho, Julen Urain, Jan Peters
2022	—	`conf`	A Semantic Enhancement of Unified Geometric Representations for Improving Indoor Visual SLAM. UR Ioannis Asmanis, Panagiotis Mermigkas, Georgia Chalvatzaki, Jan Peters, Petros Maragos
2022	J	`jnl`	A Unified Perspective on Value Backup and Exploration in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking. CoRR Lei Xu, Tianyu Ren, Georgia Chalvatzaki, Jan Peters
2022	A	`conf`	Active Exploration for Robotic Manipulation. IROS Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Active Exploration for Robotic Manipulation. CoRR Tim Schneider, Boris Belousov, Georgia Chalvatzaki, Diego Romeres, Devesh K. Jha, Jan Peters
2022	J	`jnl`	Active Inference for Robotic Manipulation. CoRR Tim Schneider, Boris Belousov, Hany Abdulsamad, Jan Peters
2022	—	`conf`	Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning. Humanoids João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters
2022	J	`jnl`	An Adaptive Human Driver Model for Realistic Race Car Simulations. CoRR Stefan Löckel, Siwei Ju, Maximilian Schaller, Peter van Vliet, Jan Peters
2022	J	`jnl`	An Analysis of Measure-Valued Derivatives for Policy Gradients. CoRR João Carvalho, Jan Peters
2022	J	`jnl`	Autonomous Learning of Page Flipping Movements via Tactile Feedback. IEEE Trans. Robotics Yi Zheng, Filipe Veiga, Jan Peters, Veronica J. Santos
2022	J	`jnl`	Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient. IEEE Trans. Pattern Anal. Mach. Intell. Samuele Tosatto, João Carvalho, Jan Peters
2022	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. IEEE Robotics Autom. Lett. Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2022	A*	`conf`	Boosted Curriculum Reinforcement Learning. ICLR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts. IEEE Trans. Pattern Anal. Mach. Intell. Riad Akrour, Davide Tateo, Jan Peters
2022	A	`conf`	Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. IROS Kai Ploeger, Jan Peters
2022	J	`jnl`	Controlling the Cascade: Kinematic Planning for N-ball Toss Juggling. CoRR Kai Ploeger, Jan Peters
2022	A*	`conf`	Curriculum Reinforcement Learning via Constrained Optimal Transport. ICML Pascal Klink, Haoyi Yang, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	A	`conf`	Dimensionality Reduction and Prioritized Exploration for Policy Search. AISTATS Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
2022	J	`jnl`	Dimensionality Reduction and Prioritized Exploration for Policy Search. CoRR Marius Memmel, Puze Liu, Davide Tateo, Jan Peters
2022	A	`conf`	Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery. IROS Niklas Funk, Svenja Menzenbach, Georgia Chalvatzaki, Jan Peters
2022	J	`jnl`	Graph-based Reinforcement Learning meets Mixed Integer Programs: An application to 3D robot assembly discovery. CoRR Niklas Funk, Svenja Menzenbach, Georgia Chalvatzaki, Jan Peters
2022	J	`jnl`	HEBO: An Empirical Study of Assumptions in Bayesian Optimisation. J. Artif. Intell. Res. Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan-Rhys Griffiths, Alexandre Max Maraval, Jianye Hao, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Hierarchical Policy Blending As Optimal Transport. CoRR An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Hierarchical Policy Blending as Inference for Reactive Robot Control. CoRR Kay Hansel, Julen Urain, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	How Crucial is Transformer in Decision Transformer? CoRR Max Siebenborn, Boris Belousov, Junning Huang, Jan Peters
2022	J	`jnl`	Human-Robot Handshaking: A Review. Int. J. Soc. Robotics Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2022	—	`conf`	Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking. Humanoids Rustam Galljamov, Guoping Zhao, Boris Belousov, André Seyfarth, Jan Peters
2022	Misc	`conf`	Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRL Joe Watson, Jan Peters
2022	J	`jnl`	Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes. CoRR Joe Watson, Jan Peters
2022	A*	`conf`	Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2022	J	`jnl`	Information-Theoretic Safe Exploration with Gaussian Processes. CoRR Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2022	—	`conf`	Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives. Humanoids Jonathan Vorndamme, João Carvalho, Riddhiman Laha, Dorothea Koert, Luis F. C. Figueredo, Jan Peters, Sami Haddadin
2022	J	`jnl`	Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images. CoRR Bang You, Oleg Arenz, Youping Chen, Jan Peters
2022	J	`jnl`	Integrating contrastive learning with dynamic models for reinforcement learning from images. Neurocomputing Bang You, Oleg Arenz, Youping Chen, Jan Peters
2022	J	`jnl`	Learning Geometric Constraints in Task and Motion Planning. CoRR Tianyu Ren, Alexander Imani Cowen-Rivers, Haitham Bou-Ammar, Jan Peters
2022	A	`conf`	Learning Implicit Priors for Motion Optimization. IROS Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters
2022	J	`jnl`	Learning Implicit Priors for Motion Optimization. CoRR Alexander Lambert, An T. Le, Julen Urain, Georgia Chalvatzaki, Byron Boots, Jan Peters
2022	J	`jnl`	Learning Stable Vector Fields on Lie Groups. IEEE Robotics Autom. Lett. Julen Urain, Davide Tateo, Jan Peters
2022	J	`jnl`	Learning to Play Table Tennis From Scratch Using Muscular Robots. IEEE Trans. Robotics Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
2022	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning. Algorithms Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2022	—	`conf`	MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. Humanoids Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction. CoRR Vignesh Prasad, Dorothea Koert, Ruth Stock-Homburg, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Monte-Carlo Robot Path Planning. CoRR Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
2022	J	`jnl`	Monte-Carlo Robot Path Planning. IEEE Robotics Autom. Lett. Tuan Dam, Georgia Chalvatzaki, Jan Peters, Joni Pajarinen
2022	J	`jnl`	PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison. CoRR Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
2022	J	`jnl`	PAC-Bayesian Lifelong Learning For Multi-Armed Bandits. CoRR Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
2022	J	`jnl`	PAC-Bayesian lifelong learning for multi-armed bandits. Data Min. Knowl. Discov. Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters
2022	J	`jnl`	Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing. CoRR Luca Lach, Niklas Funk, Robert Haschke, Séverin Lemaignan, Helge Joachim Ritter, Jan Peters, Georgia Chalvatzaki
2022	A	`conf`	Regularized Deep Signed Distance Fields for Reactive Motion Generation. IROS Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Regularized Deep Signed Distance Fields for Reactive Motion Generation. CoRR Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Residual Robot Learning for Object-Centric Probabilistic Movement Primitives. CoRR João Carvalho, Dorothea Koert, Marek Daniv, Jan Peters
2022	J	`jnl`	Revisiting Model-based Value Expansion. CoRR Daniel Palenicek, Michael Lutter, Jan Peters
2022	J	`jnl`	Robot Learning From Randomized Simulations: A Review. Frontiers Robotics AI Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2022	J	`jnl`	Robot Learning of Mobile Manipulation With Reachability Behavior Priors. IEEE Robotics Autom. Lett. Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Robot Learning of Mobile Manipulation with Reachability Behavior Priors. CoRR Snehal Jauhri, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Robust Reinforcement Learning: A Review of Foundations and Recent Advances. Mach. Learn. Knowl. Extr. Janosch Moos, Kay Hansel, Hany Abdulsamad, Svenja Stark, Debora Clever, Jan Peters
2022	J	`jnl`	SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion. CoRR Julen Urain, Niklas Funk, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Safe reinforcement learning of dynamic high-dimensional robotic tasks: navigation, manipulation, interaction. CoRR Puze Liu, Kuo Zhang, Davide Tateo, Snehal Jauhri, Zhiyuan Hu, Jan Peters, Georgia Chalvatzaki
2022	J	`jnl`	Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning. CoRR Bang You, Jingming Xie, Youping Chen, Jan Peters, Oleg Arenz
2022	J	`jnl`	Structured Q-learning For Antibody Design. CoRR Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
2022	J	`jnl`	Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. CoRR Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2022	J	`jnl`	Visual Tactile Sensor Based Force Estimation for Position-Force Teleoperation. CoRR Yaonan Zhu, Shukrullo Nazirjonov, Bingheng Jiang, Jacinto Colan, Tadayoshi Aoyama, Yasuhisa Hasegawa, Boris Belousov, Kay Hansel, Jan Peters
2021	J	`jnl`	A Differentiable Newton-Euler Algorithm for Real-World Robotics. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning. J. Mach. Learn. Res. Pascal Klink, Hany Abdulsamad, Boris Belousov, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	A Robot Cluster for Reproducible Research in Dexterous Manipulation. CoRR Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles B. Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bernhard Schölkopf
2021	A*	`conf`	A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. ICRA Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2021	C	`conf`	Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. ACC Joe Watson, Jan Peters
2021	J	`jnl`	Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk. CoRR Joe Watson, Jan Peters
2021	B	`conf`	An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. IJCNN João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters
2021	J	`jnl`	An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients. CoRR João Carvalho, Davide Tateo, Fabio Muratore, Jan Peters
2021	J	`jnl`	ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics. IEEE Trans. Hum. Mach. Syst. Samuel Bustamante-Gomez, Jan Peters, Bernhard Schölkopf, Moritz Grosse-Wentrup, Vinay Jayaram
2021	J	`jnl`	Assessing Transferability From Simulation to Reality for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Fabio Muratore, Michael Gienger, Jan Peters
2021	J	`jnl`	Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation. CoRR Niklas Funk, Charles B. Schaff, Rishabh Madan, Takuma Yoneda, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, Jan Peters
2021	—	`conf`	Building Skill Learning Systems for Robotics. CASE Michael Lutter, Debora Clever, René Kirsten, Kim Listmann, Jan Peters
2021	J	`jnl`	Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models. CoRR Michael Lutter, Jan Peters
2021	—	`conf`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. Robotics: Science and Systems Julen Urain, Puze Liu, Anqi Li, Carlo D'Eramo, Jan Peters
2021	J	`jnl`	Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning. CoRR Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters
2021	A*	`conf`	Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. ICRA Samuele Tosatto, Georgia Chalvatzaki, Jan Peters
2021	J	`jnl`	Continuous-Time Fitted Value Iteration for Robust Policies. CoRR Michael Lutter, Boris Belousov, Shie Mannor, Dieter Fox, Animesh Garg, Jan Peters
2021	A*	`conf`	Convex Regularization in Monte-Carlo Tree Search. ICML Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2021	J	`jnl`	Convex optimization with an interpolation-based projection and its application to deep learning. Mach. Learn. Riad Akrour, Asma Atamna, Jan Peters
2021	J	`jnl`	Data-Efficient Domain Randomization With Bayesian Optimization. IEEE Robotics Autom. Lett. Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters
2021	A*	`conf`	Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. ICRA Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2021	A*	`conf`	Directed Acyclic Graph Neural Network for Human Motion Prediction. ICRA Qin Li, Georgia Chalvatzaki, Jan Peters, Yong Wang
2021	J	`jnl`	Distilled Domain Randomization. CoRR Julien Brosseit, Benedikt Hahner, Fabio Muratore, Michael Gienger, Jan Peters
2021	J	`jnl`	Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions. CoRR Hany Abdulsamad, Tim Dorau, Boris Belousov, Jia-Jie Zhu, Jan Peters
2021	A	`conf`	Efficient and Reactive Planning for High Speed Robot Air Hockey. IROS Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	J	`jnl`	Efficient and Reactive Planning for High Speed Robot Air Hockey. CoRR Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	J	`jnl`	Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers. CoRR Daniel Tanneberg, Elmar Rueckert, Jan Peters
2021	J	`jnl`	ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition. Frontiers Robotics AI Niyati Rawal, Dorothea Koert, Cigdem Turan, Kristian Kersting, Jan Peters, Ruth Stock-Homburg
2021	J	`jnl`	Extended Task and Motion Planning of Long-horizon Robot Manipulation. CoRR Tianyu Ren, Georgia Chalvatzaki, Jan Peters
2021	J	`jnl`	Gaussian Approximation for Bias Reduction in Q-Learning. J. Mach. Learn. Res. Carlo D'Eramo, Andrea Cini, Alessandro Nuara, Matteo Pirotta, Cesare Alippi, Jan Peters, Marcello Restelli
2021	J	`jnl`	High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning. CoRR Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar
2021	J	`jnl`	Human-Robot Handshaking: A Review. CoRR Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2021	A	`conf`	Latent Derivative Bayesian Last Layer Networks. AISTATS Joe Watson, Jihao Andreas Lin, Pascal Klink, Joni Pajarinen, Jan Peters
2021	Misc	`conf`	Learn2Assemble with Structured Representations and Search for Robotic Architectural Construction. CoRL Niklas Funk, Georgia Chalvatzaki, Boris Belousov, Jan Peters
2021	A*	`conf`	Learning Human-like Hand Reaching for Human-Robot Handshaking. ICRA Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2021	J	`jnl`	Learning Human-like Hand Reaching for Human-Robot Handshaking. CoRR Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2021	J	`jnl`	Learning Stable Vector Fields on Lie Groups. CoRR Julen Urain, Davide Tateo, Jan Peters
2021	A*	`conf`	Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. ICRA Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D'Eramo, Aaron M. Dollar, Jan Peters
2021	J	`jnl`	Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning. CoRR Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki, Carlo D'Eramo, Aaron M. Dollar, Jan Peters
2021	J	`jnl`	Model-Based Reinforcement Learning for Stochastic Hybrid Systems. CoRR Hany Abdulsamad, Jan Peters
2021	J	`jnl`	MushroomRL: Simplifying Reinforcement Learning Research. J. Mach. Learn. Res. Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2021	Misc	`conf`	Neural Posterior Domain Randomization. CoRL Fabio Muratore, Theo Gruner, Florian Wiese, Boris Belousov, Michael Gienger, Jan Peters
2021	—	`conf`	Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf
2021	J	`jnl`	Reinforcement Learning using Guided Observability. CoRR Stephan Weigand, Pascal Klink, Jan Peters, Joni Pajarinen
2021	J	`jnl`	Robot Learning from Randomized Simulations: A Review. CoRR Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2021	Misc	`conf`	Robot Reinforcement Learning on the Constraint Manifold. CoRL Puze Liu, Davide Tateo, Haitham Bou-Ammar, Jan Peters
2021	—	`conf`	Robust Value Iteration for Continuous Control Tasks. Robotics: Science and Systems Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	J	`jnl`	Robust Value Iteration for Continuous Control Tasks. CoRR Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	J	`jnl`	SKID RAW: Skill Discovery From Raw Trajectories. IEEE Robotics Autom. Lett. Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2021	J	`jnl`	SKID RAW: Skill Discovery from Raw Trajectories. CoRR Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters
2021	J	`jnl`	Sim2Real in Robotics and Automation: Applications and Challenges. IEEE Trans Autom. Sci. Eng. Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa, Melissa Mozifian, Florian Golemo, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
2021	J	`jnl`	Stochastic Control through Approximate Bayesian Input Inference. CoRR Joe Watson, Hany Abdulsamad, Rolf Findeisen, Jan Peters
2021	—	`conf`	Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System. AIM Florian Stuhlenmiller, Debora Clever, Stephan Rinderknecht, Michael Lutter, Jan Peters
2021	A*	`conf`	Value Iteration in Continuous Actions, States and Time. ICML Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2021	J	`jnl`	Value Iteration in Continuous Actions, States and Time. CoRR Michael Lutter, Shie Mannor, Jan Peters, Dieter Fox, Animesh Garg
2020	J	`jnl`	A Differentiable Newton Euler Algorithm for Multi-body Model Learning. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2020	A	`conf`	A Nonparametric Off-Policy Policy Gradient. AISTATS Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
2020	J	`jnl`	A Nonparametric Offpolicy Policy Gradient. CoRR Samuele Tosatto, João Carvalho, Hany Abdulsamad, Jan Peters
2020	J	`jnl`	A Probabilistic Framework for Imitating Human Race Driver Behavior. CoRR Stefan Löckel, Jan Peters, Peter van Vliet
2020	J	`jnl`	A Probabilistic Framework for Imitating Human Race Driver Behavior. IEEE Robotics Autom. Lett. Stefan Löckel, Jan Peters, Peter van Vliet
2020	J	`jnl`	A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. CoRR Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
2020	—	`conf`	Active Inference or Control as Inference? A Unifying View. IWAI Abraham Imohiosen, Joe Watson, Jan Peters
2020	J	`jnl`	Active Inference or Control as Inference? A Unifying View. CoRR Joe Watson, Abraham Imohiosen, Jan Peters
2020	J	`jnl`	Adaptation and Robust Learning of Probabilistic Movement Primitives. IEEE Trans. Robotics Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters
2020	B	`conf`	Advances in Human-Robot Handshaking. ICSR Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2020	J	`jnl`	Advances in Human-Robot Handshaking. CoRR Vignesh Prasad, Ruth Stock-Homburg, Jan Peters
2020	J	`jnl`	An Upper Bound of the Bias of Nadaraya-Watson Kernel Regression under Lipschitz Assumptions. CoRR Samuele Tosatto, Riad Akrour, Jan Peters
2020	J	`jnl`	Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides. CoRR Marco Ewerton, Oleg Arenz, Jan Peters
2020	J	`jnl`	Assisted teleoperation in changing environments with a mixture of virtual guides. Adv. Robotics Marco Ewerton, Oleg Arenz, Jan Peters
2020	J	`jnl`	Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient. CoRR Samuele Tosatto, João Carvalho, Jan Peters
2020	J	`jnl`	Bayesian Domain Randomization for Sim-to-Real Transfer. CoRR Fabio Muratore, Christian Eilers, Michael Gienger, Jan Peters
2020	A	`conf`	Bayesian Online Prediction of Change Points. UAI Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters
2020	J	`jnl`	Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills. CoRR Samuele Tosatto, Georgia Chalvatzaki, Jan Peters
2020	J	`jnl`	Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning. CoRR Riad Akrour, Asma Atamna, Jan Peters
2020	J	`jnl`	Convex Regularization in Monte-Carlo Tree Search. CoRR Tuan Dam, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	—	`conf`	Decentralized Data-Driven Tuning of Droop Frequency Controllers. ISGT-Europe Allan Almeida Santos, Edwin Mora, Jan Peters, Florian Steinke
2020	A	`conf`	Deep Adversarial Reinforcement Learning for Object Disentangling. IROS Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Deep Adversarial Reinforcement Learning for Object Disentangling. CoRR Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Deep Reinforcement Learning with Weighted Q-Learning. CoRR Andrea Cini, Carlo D'Eramo, Jan Peters, Cesare Alippi
2020	J	`jnl`	Deterministic Inference of Neural Stochastic Differential Equations. CoRR Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir
2020	J	`jnl`	Differentiable Implicit Layers. CoRR Andreas Look, Simona Doneva, Melih Kandemir, Rainer Gemulla, Jan Peters
2020	J	`jnl`	Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning. CoRR Michael Lutter, Johannes Silberbauer, Joe Watson, Jan Peters
2020	J	`jnl`	Dimensionality Reduction of Movement Primitives in Parameter Space. CoRR Samuele Tosatto, Jonas Stadtmueller, Jan Peters
2020	—	`conf`	Evaluation of the Handshake Turing Test for anthropomorphic Robots. HRI (Companion) Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic
2020	J	`jnl`	Evaluation of the Handshake Turing Test for anthropomorphic Robots. CoRR Ruth Stock-Homburg, Jan Peters, Katharina Schneider, Vignesh Prasad, Lejla Nukovic
2020	J	`jnl`	Evolutionary training and abstraction yields algorithmic generalization of neural computers. Nat. Mach. Intell. Daniel Tanneberg, Elmar Rueckert, Jan Peters
2020	A*	`conf`	Generalized Mean Estimation in Monte-Carlo Tree Search. IJCAI Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Grip Stabilization through Independent Finger Tactile Feedback Control. Sensors Filipe Veiga, Benoni B. Edin, Jan Peters
2020	—	`conf`	Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. L4DC Hany Abdulsamad, Jan Peters
2020	J	`jnl`	Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation. CoRR Hany Abdulsamad, Jan Peters
2020	J	`jnl`	Hierarchical Tactile-Based Control Decomposition of Dexterous In-Hand Manipulation Tasks. Frontiers Robotics AI Filipe Veiga, Riad Akrour, Jan Peters
2020	Misc	`conf`	High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. CoRL Kai Ploeger, Michael Lutter, Jan Peters
2020	J	`jnl`	High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. CoRR Kai Ploeger, Michael Lutter, Jan Peters
2020	A	`conf`	ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows. IROS Julen Urain, Michele Ginesi, Davide Tateo, Jan Peters
2020	J	`jnl`	ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows. CoRR Julen Urain, Michele Ginesi, Davide Tateo, Jan Peters
2020	J	`jnl`	Incremental Learning of an Open-Ended Collaborative Skill Library. Int. J. Humanoid Robotics Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters
2020	A*	`conf`	Learning Control Policies from Optimal Trajectories. ICRA Christoph Zelch, Jan Peters, Oskar von Stryk
2020	A	`conf`	Learning Hierarchical Acquisition Functions for Bayesian Optimization. IROS Nils Rottmann, Tjasa Kunavar, Jan Babic, Jan Peters, Elmar Rueckert
2020	J	`jnl`	Learning Sequential Force Interaction Skills. Robotics Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters
2020	J	`jnl`	Learning attribute grammars for movement primitive sequencing. Int. J. Robotics Res. Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
2020	J	`jnl`	Learning to Fly via Deep Model-Based Reinforcement Learning. CoRR Philip Becker-Ehmck, Maximilian Karl, Jan Peters, Patrick van der Smagt
2020	J	`jnl`	Learning to Play Table Tennis From Scratch using Muscular Robots. CoRR Dieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters
2020	J	`jnl`	Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning. CoRR Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms. CoRR Marcus Ebner von Eschenbach, Binyamin Manela, Jan Peters, Armin Biess
2020	A	`conf`	Model-Based Quality-Diversity Search for Efficient Robot Learning. IROS Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
2020	J	`jnl`	Model-Based Quality-Diversity Search for Efficient Robot Learning. CoRR Leon Keller, Daniel Tanneberg, Svenja Stark, Jan Peters
2020	J	`jnl`	Multi-Channel Interactive Reinforcement Learning for Sequential Tasks. Frontiers Robotics AI Dorothea Koert, Maximilian Kircher, Vildan Salikutluk, Carlo D'Eramo, Jan Peters
2020	J	`jnl`	Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. CoRR Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
2020	J	`jnl`	Multi-Sensor Next-Best-View Planning as Matroid-Constrained Submodular Maximization. IEEE Robotics Autom. Lett. Mikko Lauri, Joni Pajarinen, Jan Peters, Simone Frintrop
2020	J	`jnl`	Multi-agent active information gathering in discrete and continuous-state decentralized POMDPs by policy graph improvement. Auton. Agents Multi Agent Syst. Mikko Lauri, Joni Pajarinen, Jan Peters
2020	J	`jnl`	MushroomRL: Simplifying Reinforcement Learning Research. CoRR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020	J	`jnl`	Numerical Quadrature for Probabilistic Policy Search. IEEE Trans. Pattern Anal. Mach. Intell. Julia Vinogradska, Bastian Bischoff, Jan Achterhold, Torsten Koller, Jan Peters
2020	J	`jnl`	Orientation Attentive Robot Grasp Synthesis. CoRR Nikolaos Gkanatsios, Georgia Chalvatzaki, Petros Maragos, Jan Peters
2020	J	`jnl`	Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop. CoRR Sebastian Höfer, Kostas E. Bekris, Ankur Handa, Juan Camilo Gamboa Higuera, Florian Golemo, Melissa Mozifian, Christopher G. Atkeson, Dieter Fox, Ken Goldberg, John J. Leonard, C. Karen Liu, Jan Peters, Shuran Song, Peter Welinder, Martha White
2020	J	`jnl`	Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. Kurena Motokura, Masaki Takahashi, Marco Ewerton, Jan Peters
2020	J	`jnl`	Probabilistic Approach to Physical Object Disentangling. IEEE Robotics Autom. Lett. Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
2020	J	`jnl`	Probabilistic approach to physical object disentangling. CoRR Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
2020	J	`jnl`	Real Time Trajectory Prediction Using Deep Conditional Generative Models. IEEE Robotics Autom. Lett. Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters
2020	A	`conf`	Redundancy resolution under hard joint constraints: a generalized approach to rank updates. IROS Anton Ziese, Mario Daniele Fiore, Jan Peters, Uwe E. Zimmermann, Jürgen Adamy
2020	J	`jnl`	Reinforcement Learning from a Mixture of Interpretable Experts. CoRR Riad Akrour, Davide Tateo, Jan Peters
2020	A*	`conf`	Self-Paced Deep Reinforcement Learning. NeurIPS Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	J	`jnl`	Self-Paced Deep Reinforcement Learning. CoRR Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2020	A*	`conf`	Sharing Knowledge in Multi-Task Deep Reinforcement Learning. ICLR Carlo D'Eramo, Davide Tateo, Andrea Bonarini, Marcello Restelli, Jan Peters
2020	J	`jnl`	Structured Policy Representation: Imposing Stability in arbitrarily conditioned dynamic systems. CoRR Julen Urain, Davide Tateo, Tianyu Ren, Jan Peters
2020	A*	`conf`	Underactuated Waypoint Trajectory Optimization for Light Painting Photography. ICRA Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters
2020	J	`jnl`	Underactuated Waypoint Trajectory Optimization for Light Painting Photography. CoRR Christian Eilers, Jonas Eschmann, Robin Menzenbach, Boris Belousov, Fabio Muratore, Jan Peters
2019	J	`jnl`	Assessing Transferability from Simulation to Reality for Reinforcement Learning. CoRR Fabio Muratore, Michael Gienger, Jan Peters
2019	J	`jnl`	Bayesian Online Detection and Prediction of Change Points. CoRR Diego Agudelo-España, Sebastián Gómez-González, Stefan Bauer, Bernhard Schölkopf, Jan Peters
2019	—	`conf`	Building a Library of Tactile Skills Based on FingerVision. Humanoids Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek, Filipe Veiga, Oliver Tessmann, Jan Peters
2019	J	`jnl`	Building a Library of Tactile Skills Based on FingerVision. CoRR Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek, Filipe Veiga, Oliver Tessmann, Jan Peters
2019	A	`conf`	Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. IROS Onur Celik, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Chance-Constrained Trajectory Optimization for Non-linear Systems with Unknown Stochastic Dynamics. CoRR Onur Celik, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Compatible Natural Gradient Policy Search. CoRR Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	J	`jnl`	Compatible natural gradient policy search. Mach. Learn. Joni Pajarinen, Hong Linh Thai, Riad Akrour, Jan Peters, Gerhard Neumann
2019	J	`jnl`	CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity. CoRR Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
2019	A	`conf`	Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. IROS Michael Lutter, Kim Listmann, Jan Peters
2019	J	`jnl`	Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems. CoRR Michael Lutter, Kim Listmann, Jan Peters
2019	—	`conf`	Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. ICLR (Poster) Michael Lutter, Christian Ritter, Jan Peters
2019	J	`jnl`	Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning. CoRR Michael Lutter, Christian Ritter, Jan Peters
2019	J	`jnl`	Entropic Regularization of Markov Decision Processes. CoRR Boris Belousov, Jan Peters
2019	J	`jnl`	Entropic Regularization of Markov Decision Processes. Entropy Boris Belousov, Jan Peters
2019	A	`conf`	Entropic Risk Measure in Policy Search. IROS David Nass, Boris Belousov, Jan Peters
2019	J	`jnl`	Entropic Risk Measure in Policy Search. CoRR David Nass, Boris Belousov, Jan Peters
2019	A	`conf`	Experience Reuse with Probabilistic Movement Primitives. IROS Svenja Stark, Jan Peters, Elmar Rueckert
2019	J	`jnl`	Experience Reuse with Probabilistic Movement Primitives. CoRR Svenja Stark, Jan Peters, Elmar Rueckert
2019	B	`conf`	Exploration Driven by an Optimistic Bellman Equation. IJCNN Samuele Tosatto, Carlo D'Eramo, Joni Pajarinen, Marcello Restelli, Jan Peters
2019	J	`jnl`	Generalized Mean Estimation in Monte-Carlo Tree Search. CoRR Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
2019	A	`conf`	Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories. IROS Julen Urain, Jan Peters
2019	J	`jnl`	Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories. CoRR Julen Urain, Jan Peters
2019	Misc	`conf`	HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. CoRL Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
2019	J	`jnl`	HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. CoRR Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters
2019	J	`jnl`	How Cognitive Models of Human Body Experience Might Push Robotics. Frontiers Neurorobotics Tim Schürmann, Betty J. Mohler, Jan Peters, Philipp Beckerle
2019	A	`conf`	Information Gathering in Decentralized POMDPs by Policy Graph Improvement. AAMAS Mikko Lauri, Joni Pajarinen, Jan Peters
2019	J	`jnl`	Information Gathering in Decentralized POMDPs by Policy Graph Improvement. CoRR Mikko Lauri, Joni Pajarinen, Jan Peters
2019	J	`jnl`	Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks. Neural Networks Daniel Tanneberg, Jan Peters, Elmar Rueckert
2019	J	`jnl`	Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer. CoRR Daniel Tanneberg, Elmar Rueckert, Jan Peters
2019	J	`jnl`	Learning Intention Aware Online Adaptation of Movement Primitives. IEEE Robotics Autom. Lett. Dorothea Koert, Joni Pajarinen, Albert Schotschneider, Susanne Trick, Constantin A. Rothkopf, Jan Peters
2019	J	`jnl`	Learning Replanning Policies With Direct Policy Search. IEEE Robotics Autom. Lett. Florian Brandherm, Jan Peters, Gerhard Neumann, Riad Akrour
2019	J	`jnl`	Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. Frontiers Robotics AI Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters
2019	J	`jnl`	Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots. CoRR Dieter Büchler, Roberto Calandra, Jan Peters
2019	J	`jnl`	Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework. IEEE Robotics Autom. Lett. Okan Koc, Jan Peters
2019	J	`jnl`	Learning walk and trot from the same objective using different types of exploration. CoRR Zinan Liu, Kai Ploeger, Svenja Stark, Elmar Rueckert, Jan Peters
2019	J	`jnl`	Local Online Motor Babbling: Learning Motor Abundance of A Musculoskeletal Robot Arm. CoRR Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda
2019	A	`conf`	Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm IROS Zinan Liu, Arne Hitzmann, Shuhei Ikemoto, Svenja Stark, Jan Peters, Koh Hosoda
2019	J	`jnl`	Model-based Lookahead Reinforcement Learning. CoRR Zhang-Wei Hong, Joni Pajarinen, Jan Peters
2019	A	`conf`	Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. IROS Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
2019	J	`jnl`	Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction. CoRR Susanne Trick, Dorothea Koert, Jan Peters, Constantin A. Rothkopf
2019	B	`conf`	Neural Signatures of Motor Skill in the Resting Brain. SMC Ozan Özdenizci, Timm Meyer, Felix A. Wichmann, Jan Peters, Bernhard Schölkopf, Müjdat Çetin, Moritz Grosse-Wentrup
2019	J	`jnl`	Optimizing the Execution of Dynamic Robot Movements With Learning Control. IEEE Trans. Robotics Okan Koc, Guilherme Maeda, Jan Peters
2019	J	`jnl`	PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. CoRR Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya
2019	A*	`conf`	Projections for Approximate Policy Iteration Algorithms. ICML Riad Akrour, Joni Pajarinen, Jan Peters, Gerhard Neumann
2019	J	`jnl`	Real Time Trajectory Prediction Using Deep Conditional Generative Models. CoRR Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters
2019	Misc	`conf`	Receding Horizon Curiosity. CoRL Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Receding Horizon Curiosity. CoRR Matthias Schultheis, Boris Belousov, Hany Abdulsamad, Jan Peters
2019	A	`conf`	Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning. IROS Marco Ewerton, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters
2019	J	`jnl`	Reinforcement learning of motor skills using Policy Search and human corrective advice. Int. J. Robotics Res. Carlos Celemin, Guilherme Maeda, Javier Ruiz-del-Solar, Jan Peters, Jens Kober
2019	J	`jnl`	Reliable Real Time Ball Tracking for Robot Table Tennis. CoRR Sebastián Gómez-González, Yassine Nemmour, Bernhard Schölkopf, Jan Peters
2019	J	`jnl`	Reliable Real-Time Ball Tracking for Robot Table Tennis. Robotics Sebastián Gómez-González, Yassine Nemmour, Bernhard Schölkopf, Jan Peters
2019	Misc	`conf`	Self-Paced Contextual Reinforcement Learning. CoRL Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
2019	J	`jnl`	Self-Paced Contextual Reinforcement Learning. CoRR Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters
2019	Misc	`conf`	Stochastic Optimal Control as Approximate Input Inference. CoRL Joe Watson, Hany Abdulsamad, Jan Peters
2019	J	`jnl`	Stochastic Optimal Control as Approximate Input Inference. CoRR Joe Watson, Hany Abdulsamad, Jan Peters
2019	A*	`conf`	Switching Linear Dynamics for Variational Bayes Filtering. ICML Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
2019	J	`jnl`	Switching Linear Dynamics for Variational Bayes Filtering. CoRR Philip Becker-Ehmck, Jan Peters, Patrick van der Smagt
2019	J	`jnl`	TD-regularized actor-critic methods. Mach. Learn. Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
2019	J	`jnl`	Was ist eine Professur fuer Kuenstliche Intelligenz? CoRR Kristian Kersting, Jan Peters, Constantin A. Rothkopf
2018	J	`jnl`	A kernel-based approach to learning contact distributions for robot manipulation tasks. Auton. Robots Oliver Kroemer, Simon Leischnig, Stefan Luettgen, Jan Peters
2018	J	`jnl`	Adaptation and Robust Learning of Probabilistic Movement Primitives. CoRR Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters
2018	J	`jnl`	An Algorithmic Perspective on Imitation Learning. CoRR Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
2018	J	`jnl`	An Algorithmic Perspective on Imitation Learning. Found. Trends Robotics Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters
2018	J	`jnl`	Approximate Value Iteration Based on Numerical Quadrature. IEEE Robotics Autom. Lett. Julia Vinogradska, Bastian Bischoff, Jan Peters
2018	J	`jnl`	Assisting Movement Training and Execution With Visual and Haptic Feedback. Frontiers Neurorobotics Marco Ewerton, David Rother, Jakob Weimar, Gerrit Kollegger, Josef Wiemeyer, Jan Peters, Guilherme Maeda
2018	J	`jnl`	Control of Musculoskeletal Systems Using Learned Dynamics Models. IEEE Robotics Autom. Lett. Dieter Buchler, Roberto Calandra, Bernhard Schölkopf, Jan Peters
2018	Misc	`conf`	Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. CoRL Fabio Muratore, Felix Treede, Michael Gienger, Jan Peters
2018	J	`jnl`	Grip Stabilization of Novel Objects Using Slip Prediction. IEEE Trans. Haptics Filipe Veiga, Jan Peters, Tucker Hermans
2018	J	`jnl`	Hierarchical reinforcement learning of multiple grasping strategies with human instructions. Adv. Robotics Takayuki Osa, Jan Peters, Gerhard Neumann
2018	J	`jnl`	In-Hand Object Stabilization by Independent Finger Control. CoRR Filipe Veiga, Benoni B. Edin, Jan Peters
2018	A*	`conf`	Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives. ICRA Rudolf Lioutikov, Guilherme Maeda, Filipe Veiga, Kristian Kersting, Jan Peters
2018	J	`jnl`	Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks. CoRR Daniel Tanneberg, Jan Peters, Elmar Rueckert
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. CoRR Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	J	`jnl`	Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling. J. Mach. Learn. Res. Adrian Sosic, Elmar Rueckert, Jan Peters, Abdelhak M. Zoubir, Heinz Koeppl
2018	A*	`conf`	Learning Coupled Forward-Inverse Models with Combined Prediction Errors. ICRA Dorothea Koert, Guilherme Maeda, Gerhard Neumann, Jan Peters
2018	J	`jnl`	Learning to serve: an experimental study for a new learning from demonstrations framework. CoRR Okan Koc, Jan Peters
2018	J	`jnl`	Mixture of Attractors: A Novel Movement Primitive Representation for Learning Motor Skills From Demonstrations. IEEE Robotics Autom. Lett. Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters
2018	J	`jnl`	Model-Free Trajectory-based Policy Optimization with Monotonic Improvement. J. Mach. Learn. Res. Riad Akrour, Abbas Abdolmaleki, Hany Abdulsamad, Jan Peters, Gerhard Neumann
2018	—	`conf`	Online Learning of an Open-Ended Skill Library for Collaborative Tasks. Humanoids Dorothea Koert, Susanne Trick, Marco Ewerton, Michael Lutter, Jan Peters
2018	J	`jnl`	Online optimal trajectory generation for robot table tennis. Robotics Auton. Syst. Okan Koc, Guilherme Maeda, Jan Peters
2018	J	`jnl`	Optimizing Execution of Dynamic Goal-Directed Robot Movements with Learning Control. CoRR Okan Koc, Guilherme Maeda, Jan Peters
2018	A*	`conf`	PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos. ICML Paavo Parmas, Carl Edward Rasmussen, Jan Peters, Kenji Doya
2018	J	`jnl`	Probabilistic movement primitives under unknown system dynamics. Adv. Robotics Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
2018	A	`conf`	Regularizing Reinforcement Learning with State Abstraction. IROS Riad Akrour, Filipe Veiga, Jan Peters, Gerhard Neumann
2018	A*	`conf`	Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann
2018	J	`jnl`	TD-Regularized Actor-Critic Methods. CoRR Simone Parisi, Voot Tangkaratt, Jan Peters, Mohammad Emtiyaz Khan
2018	J	`jnl`	Using probabilistic movement primitives in robotics. Auton. Robots Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
2018	—	`conf`	Utilizing Human Feedback in POMDP Execution and Specification. Humanoids Janine Hoelscher, Dorothea Koert, Jan Peters, Joni Pajarinen
2018	J	`jnl`	f-Divergence constrained policy improvement. CoRR Boris Belousov, Jan Peters
2017	J	`jnl`	A Comparison of Autoregressive Hidden Markov Models for Multimodal Manipulations With Variable Masses. IEEE Robotics Autom. Lett. Oliver Kroemer, Jan Peters
2017	—	`conf`	A comparison of distance measures for learning nonparametric motor skill libraries. Humanoids Svenja Stark, Jan Peters, Elmar Rueckert
2017	A*	`conf`	A learning-based shared control architecture for interactive task execution. ICRA Firas Abi-Farraj, Takayuki Osa, Nicolo Pedemonte, Jan Peters, Gerhard Neumann, Paolo Robuffo Giordano
2017	Misc	`conf`	Active Incremental Learning of Robot Movement Primitives. CoRL Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters
2017	J	`jnl`	Anticipatory action selection for human-robot table tennis. Artif. Intell. Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Bernhard Schölkopf, Jan Peters
2017	—	`conf`	Bayesian Regression for Artifact correction in Electroencephalography. GBCIC Karl-Heinz Fiebig, Vinay Jayaram, Thomas Hesse, Alexander Blank, Jan Peters, Moritz Grosse-Wentrup
2017	A*	`conf`	Context-driven movement primitive adaptation. ICRA Daniel Wilbers, Rudolf Lioutikov, Jan Peters
2017	—	`conf`	Efficient online adaptation with stochastic recurrent neural networks. Humanoids Daniel Tanneberg, Jan Peters, Elmar Rueckert
2017	A*	`conf`	Empowered skills. ICRA Alexander Gabriel, Riad Akrour, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Generalized exploration in policy search. Mach. Learn. Herke van Hoof, Daniel Tanneberg, Jan Peters
2017	A	`conf`	Goal-driven dimensionality reduction for reinforcement learning. IROS Simone Parisi, Simon Ramstedt, Jan Peters
2017	J	`jnl`	Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics Autom. Lett. Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann
2017	A	`conf`	Hybrid control trajectory optimization under uncertainty. IROS Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Hybrid control trajectory optimization under uncertainty. CoRR Joni Pajarinen, Ville Kyrki, Michael C. Koval, Siddhartha S. Srinivasa, Jan Peters, Gerhard Neumann
2017	—	`conf`	Investigating Music imagery as a Cognitive Paradigm for low-Cost brain-Computer Interfaces. GBCIC Lukas Großberger, Matthias R. Hohmann, Jan Peters, Moritz Grosse-Wentrup
2017	A*	`conf`	Layered direct policy search for learning hierarchical skills. ICRA Felix End, Riad Akrour, Jan Peters, Gerhard Neumann
2017	—	`conf`	Learning inverse dynamics models in O(n) time with LSTM networks. Humanoids Elmar Rueckert, Moritz Nakatenus, Samuele Tosatto, Jan Peters
2017	J	`jnl`	Learning movement primitive libraries through probabilistic segmentation. Int. J. Robotics Res. Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters
2017	A*	`conf`	Local Bayesian Optimization of Motor Skills. ICML Riad Akrour, Dmitry Sorokin, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Manifold-based multi-objective policy search with sample reuse. Neurocomputing Simone Parisi, Matteo Pirotta, Jan Peters
2017	J	`jnl`	Model-based contextual policy search for data-efficient generalization of robot skills. Artif. Intell. Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Ai Poh Loh, Prahlad Vadakkepat, Gerhard Neumann
2017	J	`jnl`	Non-parametric Policy Search with Limited Information Loss. J. Mach. Learn. Res. Herke van Hoof, Gerhard Neumann, Jan Peters
2017	Misc	`conf`	Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals. CoRL Daniel Tanneberg, Jan Peters, Elmar Rueckert
2017	J	`jnl`	Phase estimation for fast action recognition and trajectory generation in human-robot collaboration. Int. J. Robotics Res. Guilherme Maeda, Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Jan Peters
2017	—	`ch.`	Policy Gradient Methods. Encyclopedia of Machine Learning and Data Mining Jan Peters, J. Andrew Bagnell
2017	A*	`conf`	Policy Search with High-Dimensional Context Variables. AAAI Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2017	J	`jnl`	Prediction of Intention during Interaction with iCub with Probabilistic Movement Primitives. Frontiers Robotics AI Oriane Dermy, Alexandros Paraschos, Marco Ewerton, Jan Peters, François Charpillet, Serena Ivaldi
2017	J	`jnl`	Probabilistic Prioritization of Movement Primitives. IEEE Robotics Autom. Lett. Alexandros Paraschos, Rudolf Lioutikov, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Probabilistic movement primitives for coordination of multiple human-robot collaborative tasks. Auton. Robots Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Oliver Kroemer, Jan Peters
2017	—	`ch.`	Robot Learning. Encyclopedia of Machine Learning and Data Mining Jan Peters, Russ Tedrake, Nick Roy, Jun Morimoto
2017	J	`jnl`	Stability of Controllers for Gaussian Process Dynamics. J. Mach. Learn. Res. Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Jan Peters
2017	A*	`conf`	State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann
2017	J	`jnl`	Towards Engagement Models that Consider Individual Factors in HRI: On the Relation of Extroversion and Negative Attitude Towards Robots to Gaze and Speech During a Human-Robot Assembly Task - Experiments with the iCub humanoid. Int. J. Soc. Robotics Serena Ivaldi, Sébastien Lefort, Jan Peters, Mohamed Chetouani, Joelle Provasi, Elisabetta Zibetti
2017	J	`jnl`	Whole-body multi-contact motion in humans and humanoids: Advances of the CoDyCo European project. Robotics Auton. Syst. Vincent Padois, Serena Ivaldi, Jan Babic, Michael N. Mistry, Jan Peters, Francesco Nori
2016	A*	`conf`	A lightweight robotic arm with pneumatic muscles for robot learning. ICRA Dieter Buchler, Heiko Ott, Jan Peters
2016	B	`conf`	A low-cost sensor glove with vibrotactile feedback and multiple finger joint and hand motion sensing for human-robot interaction. RO-MAN Paul Weber, Elmar Rueckert, Roberto Calandra, Jan Peters, Philipp Beckerle
2016	A	`conf`	A new trajectory generation framework in robotic table tennis. IROS Okan Koc, Guilherme Maeda, Jan Peters
2016	J	`jnl`	Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills. IEEE Robotics Autom. Lett. Guilherme Maeda, Marco Ewerton, Dorothea Koert, Jan Peters
2016	A	`conf`	Active tactile object exploration with Gaussian processes. IROS Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters
2016	—	`conf`	Anticipative Interaction Primitives for Human-Robot Collaboration. AAAI Fall Symposia Guilherme Maeda, Aayush Maloo, Marco Ewerton, Rudolf Lioutikov, Jan Peters
2016	J	`jnl`	Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker. Ann. Math. Artif. Intell. Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2016	J	`jnl`	Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? CoRR Filipe Veiga, Jan Peters
2016	—	`conf`	Catching heuristics are optimal control policies. NIPS Boris Belousov, Gerhard Neumann, Constantin A. Rothkopf, Jan Peters
2016	J	`jnl`	Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller. J. Intell. Robotic Syst. Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann
2016	—	`conf`	Deep spiking networks for model-based planning in humanoids. Humanoids Daniel Tanneberg, Alexandros Paraschos, Jan Peters, Elmar Rueckert
2016	—	`conf`	Demonstration based trajectory optimization for generalizable robot motions. Humanoids Dorothea Koert, Guilherme Maeda, Rudolf Lioutikov, Gerhard Neumann, Jan Peters
2016	—	`conf`	Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies. ISER Takayuki Osa, Jan Peters, Gerhard Neumann
2016	J	`jnl`	Hierarchical Relative Entropy Policy Search. J. Mach. Learn. Res. Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
2016	—	`conf`	Incremental imitation learning of context-dependent motor skills. Humanoids Marco Ewerton, Guilherme Maeda, Gerrit Kollegger, Josef Wiemeyer, Jan Peters
2016	—	`conf`	Jointly learning trajectory generation and hitting point prediction in robot table tennis. Humanoids Yanlong Huang, Dieter Buchler, Okan Koc, Bernhard Schölkopf, Jan Peters
2016	A*	`conf`	Learning soft task priorities for control of redundant robots. ICRA Valerio Modugno, Gerhard Neumann, Elmar Rueckert, Giuseppe Oriolo, Jan Peters, Serena Ivaldi
2016	—	`conf`	Local-utopia policy selection for multi-objective reinforcement learning. SSCI Simone Parisi, Alexander Blank, Tobias Viernickel, Jan Peters
2016	B	`conf`	Manifold Gaussian Processes for regression. IJCNN Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
2016	—	`conf`	Model-Based Relative Entropy Stochastic Search. GECCO (Companion) Abbas Abdolmaleki, Rudolf Lioutikov, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann
2016	A*	`conf`	Movement primitives with multiple phase parameters. ICRA Marco Ewerton, Guilherme Maeda, Gerhard Neumann, Viktor Kisner, Gerrit Kollegger, Josef Wiemeyer, Jan Peters
2016	B	`conf`	Multi-task logistic regression in brain-computer interfaces. SMC Karl-Heinz Fiebig, Vinay Jayaram, Jan Peters, Moritz Grosse-Wentrup
2016	J	`jnl`	Policy Search with High-Dimensional Context Variables. CoRR Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2016	A	`conf`	Probabilistic decomposition of sequential force interaction tasks into Movement Primitives. IROS Simon Manschitz, Michael Gienger, Jens Kober, Jan Peters
2016	J	`jnl`	Probabilistic inference for determining options in reinforcement learning. Mach. Learn. Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann
2016	—	`ch.`	Robot Learning. Springer Handbook of Robotics, 2nd Ed. Jan Peters, Daniel D. Lee, Jens Kober, Duy Nguyen-Tuong, J. Andrew Bagnell, Stefan Schaal
2016	A*	`conf`	Stability of Controllers for Gaussian Process Forward Models. ICML Julia Vinogradska, Bastian Bischoff, Duy Nguyen-Tuong, Anne Romer, Henner Schmidt, Jan Peters
2016	A	`conf`	Stable reinforcement learning with autoencoders for tactile and visual data. IROS Herke van Hoof, Nutan Chen, Maximilian Karl, Patrick van der Smagt, Jan Peters
2016	—	`conf`	Using probabilistic movement primitives for striking movements. Humanoids Sebastián Gómez-González, Gerhard Neumann, Bernhard Schölkopf, Jan Peters
2015	—	`conf`	A Probabilistic Framework for Semi-autonomous Robots Based on Interaction Primitives with Phase Estimation. ISRR (2) Guilherme Maeda, Gerhard Neumann, Marco Ewerton, Rudolf Lioutikov, Jan Peters
2015	—	`conf`	A comparison of contact distribution representations for learning to predict object interactions. Humanoids Simon Leischnig, Stefan Luettgen, Oliver Kroemer, Jan Peters
2015	J	`jnl`	Active reward learning with a novel acquisition function. Auton. Robots Christian Daniel, Oliver Kroemer, Malte Viering, Jan Metz, Jan Peters
2015	A	`conf`	Combined pose-wrench and state machine representation for modeling Robotic Assembly Skills. IROS Arne Wahrburg, Stefan Zeiss, Bjoern Matthias, Jan Peters, Hao Ding
2015	—	`conf`	Contextual Policy Search for Generalizing a Parameterized Biped Walking Controller. ICARSC Abbas Abdolmaleki, Nuno Lau, Luís Paulo Reis, Jan Peters, Gerhard Neumann
2015	—	`conf`	Evaluation of tactile feature extraction for interactive object recognition. Humanoids Janine Hoelscher, Jan Peters, Tucker Hermans
2015	A*	`conf`	Extracting low-dimensional control variables for movement primitives. ICRA Elmar Rueckert, Jan Mundo, Alexandros Paraschos, Jan Peters, Gerhard Neumann
2015	—	`conf`	First-person tele-operation of a humanoid robot. Humanoids Lars Fritsche, Felix Unverzag, Jan Peters, Roberto Calandra
2015	A*	`conf`	Learning inverse dynamics models with contacts. ICRA Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Elmar Rueckert, Jan Peters
2015	A	`conf`	Learning motor skills from partially observed movements executed at different speeds. IROS Marco Ewerton, Guilherme Maeda, Jan Peters, Gerhard Neumann
2015	J	`jnl`	Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations. Robotics Auton. Syst. Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters
2015	A*	`conf`	Learning multiple collaborative tasks with a mixture of Interaction Primitives. ICRA Marco Ewerton, Gerhard Neumann, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Guilherme Maeda
2015	A	`conf`	Learning of Non-Parametric Control Policies with High-Dimensional State Features. AISTATS Herke van Hoof, Jan Peters, Gerhard Neumann
2015	A	`conf`	Learning optimal striking points for a ping-pong playing robot. IROS Yanlong Huang, Bernhard Schölkopf, Jan Peters
2015	—	`conf`	Learning robot in-hand manipulation with tactile features. Humanoids Herke van Hoof, Tucker Hermans, Gerhard Neumann, Jan Peters
2015	—	`conf`	Learning torque control in presence of contacts using tactile sensing from robot skin. Humanoids Roberto Calandra, Serena Ivaldi, Marc Peter Deisenroth, Jan Peters
2015	J	`jnl`	Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations. CoRR Elmar Rueckert, Rudolf Lioutikov, Roberto Calandra, Marius Schmidt, Philipp Beckerle, Jan Peters
2015	—	`conf`	Model-Based Relative Entropy Stochastic Search. NIPS Abbas Abdolmaleki, Rudolf Lioutikov, Jan Peters, Nuno Lau, Luís Paulo Reis, Gerhard Neumann
2015	A	`conf`	Model-free Probabilistic Movement Primitives for physical interaction. IROS Alexandros Paraschos, Elmar Rueckert, Jan Peters, Gerhard Neumann
2015	J	`jnl`	Multimodal Manipulation Under Uncertainty (Dagstuhl Seminar 15411). Dagstuhl Reports Jan Peters, Justus H. Piater, Robert Platt Jr., Siddhartha S. Srinivasa
2015	—	`conf`	Optimizing robot striking movement primitives with Iterative Learning Control. Humanoids Okan Koc, Guilherme Maeda, Gerhard Neumann, Jan Peters
2015	A*	`conf`	Policy Evaluation with Temporal Differences: A Survey and Comparison (Extended Abstract). ICAPS Christoph Dann, Gerhard Neumann, Jan Peters
2015	A	`conf`	Probabilistic progress prediction and sequencing of concurrent movement primitives. IROS Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters
2015	—	`conf`	Probabilistic segmentation applied to an assembly task. Humanoids Rudolf Lioutikov, Gerhard Neumann, Guilherme Maeda, Jan Peters
2015	A	`conf`	Reinforcement learning vs human programming in tetherball robot games. IROS Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
2015	A	`conf`	Stabilizing novel objects by learning to predict tactile slip. IROS Filipe Veiga, Herke van Hoof, Jan Peters, Tucker Hermans
2015	J	`jnl`	Towards engagement models that consider individual factors in HRI: on the relation of extroversion and negative attitude towards robots to gaze and speech during a human-robot assembly task. CoRR Serena Ivaldi, Sébastien Lefort, Jan Peters, Mohamed Chetouani, Joelle Provasi, Elisabetta Zibetti
2015	A*	`conf`	Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters
2014	—	`conf`	Active Reward Learning. Robotics: Science and Systems Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters
2014	A*	`conf`	An experimental comparison of Bayesian optimization for bipedal locomotion. ICRA Roberto Calandra, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2014	—	`conf`	Bayesian Gait Optimization for Bipedal Locomotion. LION Roberto Calandra, Nakul Gopalan, André Seyfarth, Jan Peters, Marc Peter Deisenroth
2014	—	`conf`	Dimensionality reduction for probabilistic movement primitives. Humanoids Adria Colome, Gerhard Neumann, Jan Peters, Carme Torras
2014	J	`jnl`	Generalizing Movements with Information-Theoretic Stochastic Optimal Control. J. Aerosp. Inf. Syst. Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann
2014	—	`conf`	Generalizing pouring actions between objects using warped parameters. Humanoids Sascha Brandi, Oliver Kroemer, Jan Peters
2014	J	`jnl`	Indirect robot model learning for tracking control. Adv. Robotics Botond Attila Bócsi, Lehel Csató, Jan Peters
2014	A*	`conf`	Interaction primitives for human-robot cooperation tasks. ICRA Heni Ben Amor, Gerhard Neumann, Sanket Kamthe, Oliver Kroemer, Jan Peters
2014	A	`conf`	Latent space policy search for robotics. IROS Kevin Sebastian Luck, Gerhard Neumann, Erik Berger, Jan Peters, Heni Ben Amor
2014	C	`conf`	Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot. IAS Rudolf Lioutikov, Oliver Kroemer, Guilherme Maeda, Jan Peters
2014	—	`book`	Learning Motor Skills - From Algorithms to Robot Experiments Jens Kober, Jan Peters
2014	—	`conf`	Learning interaction for collaborative tasks with probabilistic movement primitives. Humanoids Guilherme Maeda, Marco Ewerton, Rudolf Lioutikov, Heni Ben Amor, Jan Peters, Gerhard Neumann
2014	J	`jnl`	Learning modular policies for robotics. Frontiers Comput. Neurosci. Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters
2014	A	`conf`	Learning robot tactile sensing for object manipulation. IROS Yevgen Chebotar, Oliver Kroemer, Jan Peters
2014	J	`jnl`	Learning strategies in table tennis using inverse reinforcement learning. Biol. Cybern. Katharina Mülling, Abdeslam Boularias, Betty J. Mohler, Bernhard Schölkopf, Jan Peters
2014	A*	`conf`	Learning to predict phases of manipulation tasks as hidden states. ICRA Oliver Kroemer, Herke van Hoof, Gerhard Neumann, Jan Peters
2014	A	`conf`	Learning to sequence movement primitives from demonstrations. IROS Simon Manschitz, Jens Kober, Michael Gienger, Jan Peters
2014	J	`jnl`	Manifold Gaussian Processes for Regression. CoRR Roberto Calandra, Jan Peters, Carl Edward Rasmussen, Marc Peter Deisenroth
2014	Misc	`conf`	Multi-modal filtering for non-linear estimation. ICASSP Sanket Kamthe, Jan Peters, Marc Peter Deisenroth
2014	J	`jnl`	Multi-modal filtering for non-linear estimation. CoRR Sanket Kamthe, Jan Peters, Marc Peter Deisenroth
2014	A*	`conf`	Multi-task policy search for robotics. ICRA Marc Peter Deisenroth, Peter Englert, Jan Peters, Dieter Fox
2014	J	`jnl`	Natural evolution strategies. J. Mach. Learn. Res. Daan Wierstra, Tom Schaul, Tobias Glasmachers, Yi Sun, Jan Peters, Jürgen Schmidhuber
2014	—	`conf`	Omnidirectional Walking with a Compliant Inverted Pendulum Model. IBERAMIA Abbas Abdolmaleki, Nima Shafii, Luís Paulo Reis, Nuno Lau, Jan Peters, Gerhard Neumann
2014	—	`conf`	Policy Search for Path Integral Control. ECML/PKDD (1) Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann
2014	J	`jnl`	Policy evaluation with temporal differences: a survey and comparison. J. Mach. Learn. Res. Christoph Dann, Gerhard Neumann, Jan Peters
2014	A*	`conf`	Policy search for learning robot control using sparse data. ICRA Bastian Bischoff, Duy Nguyen-Tuong, Herke van Hoof, Andrew McHutchon, Carl E. Rasmussen, Alois C. Knoll, Jan Peters, Marc Peter Deisenroth
2014	A	`conf`	Predicting object interactions from contact distributions. IROS Oliver Kroemer, Jan Peters
2014	J	`jnl`	Probabilistic Segmentation and Targeted Exploration of Objects in Cluttered Environments. IEEE Trans. Robotics Herke van Hoof, Oliver Kroemer, Jan Peters
2014	—	`conf`	Robust policy updates for stochastic optimal control. Humanoids Elmar Rueckert, Max Mindt, Jan Peters, Gerhard Neumann
2014	A*	`conf`	Sample-based informationl-theoretic stochastic optimal control. ICRA Rudolf Lioutikov, Alexandros Paraschos, Jan Peters, Gerhard Neumann
2014	J	`jnl`	Special issue on autonomous grasping and manipulation. Auton. Robots Heni Ben Amor, Ashutosh Saxena, Nicolas Hudson, Jan Peters
2014	—	`conf`	Tools for simulating humanoid robot dynamics: A survey based on user feedback. Humanoids Serena Ivaldi, Jan Peters, Vincent Padois, Francesco Nori
2013	J	`jnl`	A Survey on Policy Search for Robotics. Found. Trends Robotics Marc Peter Deisenroth, Gerhard Neumann, Jan Peters
2013	—	`conf`	A probabilistic approach to robot trajectory generation. Humanoids Alexandros Paraschos, Gerhard Neumann, Jan Peters
2013	B	`conf`	Alignment-based transfer learning for robot models. IJCNN Botond Bocsi, Lehel Csató, Jan Peters
2013	B	`conf`	Autonomous reinforcement learning with hierarchical REPS. IJCNN Christian Daniel, Gerhard Neumann, Jan Peters
2013	A*	`conf`	Data-Efficient Generalization of Robot Skills with Contextual Policy Search. AAAI Andras Gabor Kupcsik, Marc Peter Deisenroth, Jan Peters, Gerhard Neumann
2013	A*	`conf`	Feedback error learning for rhythmic motor primitives. ICRA Nakul Gopalan, Marc Peter Deisenroth, Jan Peters
2013	A	`conf`	Learning responsive robot behavior by imitation. IROS Heni Ben Amor, David Vogt, Marco Ewerton, Erik Berger, Bernhard Jung, Jan Peters
2013	A*	`conf`	Learning sequential motor tasks. ICRA Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
2013	J	`jnl`	Learning to select and generalize striking movements in robot table tennis. Int. J. Robotics Res. Katharina Mülling, Jens Kober, Oliver Kroemer, Jan Peters
2013	A*	`conf`	Model-based imitation learning by probabilistic trajectory matching. ICRA Peter Englert, Alexandros Paraschos, Jan Peters, Marc Peter Deisenroth
2013	J	`jnl`	Multi-Task Policy Search. CoRR Marc Peter Deisenroth, Peter Englert, Jan Peters, Dieter Fox
2013	—	`conf`	Probabilistic Movement Primitives. NIPS Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
2013	—	`conf`	Probabilistic interactive segmentation for anthropomorphic robots in cluttered environments. Humanoids Herke van Hoof, Oliver Kroemer, Jan Peters
2013	J	`jnl`	Probabilistic model-based imitation learning. Adapt. Behav. Peter Englert, Alexandros Paraschos, Marc Peter Deisenroth, Jan Peters
2013	J	`jnl`	Probabilistic movement modeling for intention inference in human-robot interaction. Int. J. Robotics Res. Zhikun Wang, Katharina Mülling, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Bernhard Schölkopf, Jan Peters
2013	J	`jnl`	Reinforcement learning in robotics: A survey. Int. J. Robotics Res. Jens Kober, J. Andrew Bagnell, Jan Peters
2013	—	`conf`	Towards Robot Skill Learning: From Simple Skills to Table Tennis. ECML/PKDD (3) Jan Peters, Jens Kober, Katharina Mülling, Oliver Krömer, Gerhard Neumann
2012	A	`conf`	A brain-robot interface for studying motor learning after stroke. IROS Timm Meyer, Jan Peters, Doris Brtz, Thorsten O. Zander, Bernhard Schölkopf, Surjo R. Soekadar, Moritz Grosse-Wentrup
2012	A*	`conf`	A kernel-based approach to direct action perception. ICRA Oliver Kroemer, Emre Ugur, Erhan Öztop, Jan Peters
2012	—	`conf`	Algorithms for Learning Markov Field Policies. NIPS Abdeslam Boularias, Oliver Kroemer, Jan Peters
2012	A	`conf`	Generalization of human grasping for multi-fingered robot hands. IROS Heni Ben Amor, Oliver Kroemer, Ulrich Hillenbrand, Gerhard Neumann, Jan Peters
2012	A	`conf`	Hierarchical Relative Entropy Policy Search. AISTATS Christian Daniel, Gerhard Neumann, Jan Peters
2012	J	`jnl`	Learning Prioritized Control of Motor Primitives CoRR Jens Kober, Jan Peters
2012	A	`conf`	Learning concurrent motor skills in versatile solution spaces. IROS Christian Daniel, Gerhard Neumann, Jan Peters
2012	A	`conf`	Learning throwing and catching skills. IROS Jens Kober, Katharina Mülling, Jan Peters
2012	—	`conf`	Learning to Select and Generalize Striking Movements in Robot Table Tennis. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers Katharina Mülling, Jens Kober, Oliver Kroemer, Jan Peters
2012	A*	`conf`	Learning tracking control with forward models. ICRA Botond Bocsi, Philipp Hennig, Lehel Csató, Jan Peters
2012	A	`conf`	Maximally informative interaction learning for scene exploration. IROS Herke van Hoof, Oliver Kroemer, Heni Ben Amor, Jan Peters
2012	J	`jnl`	Online Kernel-Based Learning for Task-Space Tracking Robot Control. IEEE Trans. Neural Networks Learn. Syst. Duy Nguyen-Tuong, Jan Peters
2012	—	`conf`	Point cloud completion using extrusions. Humanoids Oliver Kroemer, Heni Ben Amor, Marco Ewerton, Jan Peters
2012	—	`conf`	Preface. EWRL Marc Peter Deisenroth, Csaba Szepesvári, Jan Peters
2012	—	`conf`	Probabilistic Modeling of Human Movements for Intention Inference. Robotics: Science and Systems Zhikun Wang, Marc Peter Deisenroth, Heni Ben Amor, David Vogt, Bernhard Schölkopf, Jan Peters
2012	—	`ed.`	Proceedings of the Tenth European Workshop on Reinforcement Learning, EWRL 2012, Edinburgh, Scotland, UK, June, 2012 EWRL Marc Peter Deisenroth, Csaba Szepesvári, Jan Peters
2012	J	`jnl`	Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components. J. Real Time Image Process. Christoph H. Lampert, Jan Peters
2012	—	`ch.`	Reinforcement Learning in Robotics: A Survey. Reinforcement Learning Jens Kober, Jan Peters
2012	J	`jnl`	Reinforcement learning to adjust parametrized motor primitives to new situations. Auton. Robots Jens Kober, Andreas Wilhelm, Erhan Öztop, Jan Peters
2012	A	`conf`	Robot Skill Learning. ECAI Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
2012	J	`jnl`	Special issue on "Bio-inspired computing for autonomous vehicles". Int. J. Intell. Comput. Cybern. Yang Gao, Jan Peters, Antonios Tsourdos
2012	—	`conf`	Structured Apprenticeship Learning. ECML/PKDD (2) Abdeslam Boularias, Oliver Krömer, Jan Peters
2012	A	`conf`	Toward fast policy search for learning legged locomotion. IROS Marc Peter Deisenroth, Roberto Calandra, André Seyfarth, Jan Peters
2011	—	`conf`	A Non-Parametric Approach to Dynamic Programming. NIPS Oliver Kroemer, Jan Peters
2011	J	`jnl`	A biomimetic approach to robot table tennis. Adapt. Behav. Katharina Mülling, Jens Kober, Jan Peters
2011	A*	`conf`	A flexible hybrid framework for modeling complex manipulation tasks. ICRA Oliver Kroemer, Jan Peters
2011	—	`conf`	Active exploration for robot parameter selection in episodic reinforcement learning. ADPRL Oliver Kroemer, Jan Peters
2011	A*	`conf`	Balancing Safety and Exploitability in Opponent Modeling. AAAI Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters
2011	J	`jnl`	Exploration and Curiosity in Robot Learning and Inference (Dagstuhl Seminar 11131). Dagstuhl Reports Jeremy L. Wyatt, Peter Dayan, Ales Leonardis, Jan Peters
2011	J	`jnl`	Incremental online sparsification for model learning in real-time robot control. Neurocomputing Duy Nguyen-Tuong, Jan Peters
2011	J	`jnl`	Learning Dynamic Tactile Sensing With Robust Vision-Based Training. IEEE Trans. Robotics Oliver Kroemer, Christoph H. Lampert, Jan Peters
2011	A	`conf`	Learning anticipation policies for robot table tennis. IROS Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf, Jan Peters
2011	A	`conf`	Learning elementary movements jointly with a higher level task. IROS Jens Kober, Jan Peters
2011	J	`jnl`	Learning grasp affordance densities. Paladyn J. Behav. Robotics Renaud Detry, Dirk Kraft, Oliver Kroemer, Leon Bodenhagen, Jan Peters, Norbert Krüger, Justus H. Piater
2011	A	`conf`	Learning inverse kinematics with structured prediction. IROS Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters
2011	A	`conf`	Learning robot grasping from 3-D images with Markov Random Fields. IROS Abdeslam Boularias, Oliver Kroemer, Jan Peters
2011	A	`conf`	Learning task-space tracking control with kernels. IROS Duy Nguyen-Tuong, Jan Peters
2011	J	`jnl`	Learning visual representations for perception-action systems. Int. J. Robotics Res. Justus H. Piater, Sébastien Jodogne, Renaud Detry, Dirk Kraft, Norbert Krüger, Oliver Kroemer, Jan Peters
2011	J	`jnl`	Model learning for robot control: a survey. Cogn. Process. Duy Nguyen-Tuong, Jan Peters
2011	A*	`conf`	Modeling Opponent Actions for Table-Tennis Playing Robot. AAAI Zhikun Wang, Abdeslam Boularias, Katharina Mülling, Jan Peters
2011	J	`jnl`	PAC-Bayesian Analysis of Martingales and Multiarmed Bandits CoRR Yevgeny Seldin, François Laviolette, John Shawe-Taylor, Jan Peters, Peter Auer
2011	J	`jnl`	PAC-Bayesian Analysis of the Exploration-Exploitation Trade-off CoRR Yevgeny Seldin, Nicolò Cesa-Bianchi, François Laviolette, Peter Auer, John Shawe-Taylor, Jan Peters
2011	J	`jnl`	Policy search for motor primitives in robotics. Mach. Learn. Jens Kober, Jan Peters
2011	A*	`conf`	Reinforcement Learning to Adjust Robot Movements to New Situations. IJCAI Jens Kober, Erhan Öztop, Jan Peters
2011	A	`conf`	Relative Entropy Inverse Reinforcement Learning. AISTATS Abdeslam Boularias, Jens Kober, Jan Peters
2011	J	`jnl`	Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Comput. Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
2011	A*	`conf`	Trajectory planning for optimal robot catching in real-time. ICRA Roberto Lampariello, Duy Nguyen-Tuong, Claudio Castellini, Gerd Hirzinger, Jan Peters
2010	A	`conf`	A biomimetic approach to robot table tennis. IROS Katharina Mülling, Jens Kober, Jan Peters
2010	—	`conf`	Adapting Preshaped Grasping Movements Using Vision Descriptors. SAB Oliver Krömer, Renaud Detry, Justus H. Piater, Jan Peters
2010	J	`jnl`	Algorithmen zum Automatischen Erlernen von Motorfähigkeiten (Policy Learning Algorithms for Motor Skills). Autom. Jan Peters, Jens Kober, Stefan Schaal
2010	B	`conf`	Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery. SMC Manuel Gomez-Rodriguez, Jan Peters, N. Jeremy Hill, Bernhard Schölkopf, Alireza Gharabaghi, Moritz Grosse-Wentrup
2010	J	`jnl`	Combining active learning and reactive control for robot grasping. Robotics Auton. Syst. Oliver Kroemer, Renaud Detry, Justus H. Piater, Jan Peters
2010	J	`jnl`	Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya
2010	—	`conf`	Experiments with Motor Primitives in Table Tennis. ISER Jan Peters, Katharina Mülling, Jens Kober
2010	—	`book`	From Motor Learning to Interaction Learning in Robots From Motor Learning to Interaction Learning in Robots Olivier Sigaud, Jan Peters
2010	—	`ch.`	From Motor Learning to Interaction Learning in Robots. From Motor Learning to Interaction Learning in Robots Olivier Sigaud, Jan Peters
2010	—	`conf`	Grasping with Vision Descriptors and Motor Primitives. ICINCO (Selected Papers) Oliver Kroemer, Renaud Detry, Justus H. Piater, Jan Peters
2010	—	`conf`	Grasping with Vision Descriptors and Motor Primitives. ICINCO (2) Oliver Kroemer, Renaud Detry, Justus H. Piater, Jan Peters
2010	—	`ch.`	Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling. From Motor Learning to Interaction Learning in Robots Jens Kober, Betty J. Mohler, Jan Peters
2010	J	`jnl`	Imitation and Reinforcement Learning. IEEE Robotics Autom. Mag. Jens Kober, Jan Peters
2010	A	`conf`	Incremental Sparsification for Real-time Online Model Learning. AISTATS Duy Nguyen-Tuong, Jan Peters
2010	—	`ch.`	Learning Continuous Grasp Affordances by Sensorimotor Exploration. From Motor Learning to Interaction Learning in Robots Renaud Detry, Emre Baseski, Mila Popovic, Younes Touati, Norbert Krüger, Oliver Kroemer, Jan Peters, Justus H. Piater
2010	A	`conf`	Learning probabilistic discriminative models of grasp affordances under limited supervision. IROS Ayse Erkan, Oliver Kroemer, Renaud Detry, Yasemin Altun, Justus H. Piater, Jan Peters
2010	—	`conf`	Learning table tennis with a Mixture of Motor Primitives. Humanoids Katharina Mülling, Jens Kober, Jan Peters
2010	—	`conf`	Movement extraction by detecting dynamics switches and repetitions. NIPS Silvia Chiappa, Jan Peters
2010	A*	`conf`	Movement templates for learning of hitting and batting. ICRA Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters
2010	J	`jnl`	Parameter-exploring policy gradients. Neural Networks Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2010	—	`ch.`	Policy Gradient Methods. Encyclopedia of Machine Learning Jan Peters, J. Andrew Bagnell
2010	J	`jnl`	Policy gradient methods. Scholarpedia Jan Peters
2010	—	`ch.`	Real-Time Local GP Model Learning. From Motor Learning to Interaction Learning in Robots Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2010	J	`jnl`	Recurrent policy gradients. Log. J. IGPL Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber
2010	—	`conf`	Reinforcement Learning to adjust Robot Movements to New Situations. Robotics: Science and Systems Jens Kober, Erhan Öztop, Jan Peters
2010	A*	`conf`	Relative Entropy Policy Search. AAAI Jan Peters, Katharina Mülling, Yasemin Altun
2010	—	`ch.`	Robot Learning. Encyclopedia of Machine Learning Jan Peters, Russ Tedrake, Nicholas Roy, Jun Morimoto
2010	—	`conf`	Simulating Human Table Tennis with a Biomimetic Robot Setup. SAB Katharina Mülling, Jens Kober, Jan Peters
2010	—	`conf`	Switched Latent Force Models for Movement Segmentation. NIPS Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence
2010	A*	`conf`	Using model knowledge for learning inverse dynamics. ICRA Duy Nguyen-Tuong, Jan Peters
2009	—	`conf`	09341 Abstracts Collection - Cognition, Control and Learning for Robot Manipulation in Human Environments. Cognition, Control and Learning for Robot Manipulation in Human Environments Michael Beetz, Oliver Brock, Gordon Cheng, Jan Peters
2009	—	`conf`	09341 Summary - Cognition, Control and Learning for Robot Manipulation in Human Environments. Cognition, Control and Learning for Robot Manipulation in Human Environments Michael Beetz, Oliver Brock, Gordon Cheng, Jan Peters
2009	—	`conf`	A Computational Model of Human Table Tennis for Robot Application. AMS Katharina Mülling, Jan Peters
2009	—	`conf`	Active Structured Learning for High-Speed Object Detection. DAGM-Symposium Christoph H. Lampert, Jan Peters
2009	A	`conf`	Active learning using mean shift optimization for robot grasping. IROS Oliver Kroemer, Renaud Detry, Justus H. Piater, Jan Peters
2009	J	`jnl`	Adaptive importance sampling for value function approximation in off-policy reinforcement learning. Neural Networks Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2009	A	`conf`	An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward. AISTATS Matthew Hoffman, Nando de Freitas, Arnaud Doucet, Jan Peters
2009	—	`ed.`	Cognition, Control and Learning for Robot Manipulation in Human Environments, 16.08. - 21.08.2009 Cognition, Control and Learning for Robot Manipulation in Human Environments Michael Beetz, Oliver Brock, Gordon Cheng, Jan Peters
2009	—	`conf`	Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) Hirotaka Hachiya, Jan Peters, Masashi Sugiyama
2009	—	`conf`	Efficient data reuse in value function approximation. ADPRL Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2009	J	`jnl`	Gaussian process dynamic programming. Neurocomputing Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters
2009	J	`jnl`	Guest editorial: Special issue on robot learning, Part A. Auton. Robots Jan Peters, Andrew Y. Ng
2009	J	`jnl`	Guest editorial: Special issue on robot learning, Part B. Auton. Robots Jan Peters, Andrew Y. Ng
2009	—	`conf`	Learning New Basic Movements for Robotics. AMS Jens Kober, Jan Peters
2009	C	`conf`	Learning Visual Representations for Interactive Systems. ISRR Justus H. Piater, Sébastien Jodogne, Renaud Detry, Dirk Kraft, Norbert Krüger, Oliver Krömer, Jan Peters
2009	A*	`conf`	Learning complex motions by sequencing simpler motion templates. ICML Gerhard Neumann, Wolfgang Maass, Jan Peters
2009	A*	`conf`	Learning motor primitives for robotics. ICRA Jens Kober, Jan Peters
2009	J	`jnl`	Model Learning with Local Gaussian Process Regression. Adv. Robotics Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2009	J	`jnl`	Policy Search for Motor Primitives. Künstliche Intell. Jens Kober, Jan Peters
2009	J	`jnl`	Robot learning [TC Spotlight]. IEEE Robotics Autom. Mag. Jan Peters, Jun Morimoto, Russ Tedrake, Nicholas Roy
2009	A	`conf`	Sparse online model learning for robot control with support vector regression. IROS Duy Nguyen-Tuong, Bernhard Schölkopf, Jan Peters
2009	C	`conf`	Towards Motor Skill Learning for Robotics. ISRR Jan Peters, Katharina Mülling, Jens Kober, Duy Nguyen-Tuong, Oliver Krömer
2009	—	`conf`	Using reward-weighted imitation for robot Reinforcement Learning. ADPRL Jan Peters, Jens Kober
2008	J	`jnl`	A unifying framework for robot control with redundant DOFs. Auton. Robots Jan Peters, Michael N. Mistry, Firdaus E. Udwadia, Jun Nakanishi, Stefan Schaal
2008	A*	`conf`	Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters
2008	C	`conf`	Approximate dynamic programming with Gaussian processes. ACC Marc Peter Deisenroth, Jan Peters, Carl E. Rasmussen
2008	C	`conf`	Computed torque control with nonparametric regression models. ACC Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2008	—	`conf`	Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. ICANN (1) Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	A	`conf`	Fitness Expectation Maximization. PPSN Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	—	`conf`	Fitted Q-iteration by Advantage Weighted Regression. NIPS Gerhard Neumann, Jan Peters
2008	B	`conf`	Learning Inverse Dynamics: a Comparison. ESANN Duy Nguyen-Tuong, Jan Peters, Matthias W. Seeger, Bernhard Schölkopf
2008	A	`conf`	Learning perceptual coupling for motor primitives. IROS Jens Kober, Betty J. Mohler, Jan Peters
2008	J	`jnl`	Learning to Control in Operational Space. Int. J. Robotics Res. Jan Peters, Stefan Schaal
2008	—	`conf`	Local Gaussian Process Regression for Real Time Online Model Learning. NIPS Duy Nguyen-Tuong, Matthias W. Seeger, Jan Peters
2008	A	`conf`	Local Gaussian process regression for real-time model-based robot control. IROS Duy Nguyen-Tuong, Jan Peters
2008	J	`jnl`	Machine Learning for motor skills in robotics. Künstliche Intell. Jan Peters
2008	J	`jnl`	Manifold-valued Thin-Plate Splines with Applications in Computer Graphics. Comput. Graph. Forum Florian Steinke, Matthias Hein, Jan Peters, Bernhard Schölkopf
2008	B	`conf`	Model-Based Reinforcement Learning with Continuous States and Actions. ESANN Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters
2008	J	`jnl`	Natural Actor-Critic. Neurocomputing Jan Peters, Stefan Schaal
2008	B	`conf`	Natural Evolution Strategies. IEEE Congress on Evolutionary Computation Daan Wierstra, Tom Schaul, Jan Peters, Jürgen Schmidhuber
2008	J	`jnl`	Operational Space Control: A Theoretical and Empirical Comparison. Int. J. Robotics Res. Jun Nakanishi, Rick Cory, Michael N. Mistry, Jan Peters, Stefan Schaal
2008	—	`conf`	Policy Gradients with Parameter-Based Exploration for Control. ICANN (1) Frank Sehnke, Christian Osendorfer, Thomas Rückstieß, Alex Graves, Jan Peters, Jürgen Schmidhuber
2008	—	`conf`	Policy Learning - A Unified Perspective with Applications in Robotics. EWRL Jan Peters, Jens Kober, Duy Nguyen-Tuong
2008	—	`conf`	Policy Search for Motor Primitives in Robotics. NIPS Jens Kober, Jan Peters
2008	A*	`conf`	Real-time learning of resolved velocity control on a Mitsubishi PA-10. ICRA Jan Peters, Duy Nguyen-Tuong
2008	J	`jnl`	Reinforcement learning of motor skills with policy gradients. Neural Networks Jan Peters, Stefan Schaal
2008	—	`conf`	Using Bayesian Dynamical Systems for Motion Template Libraries. NIPS Silvia Chiappa, Jens Kober, Jan Peters
2007	B	`conf`	Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning. ESANN Jan Peters, Stefan Schaal
2007	J	`jnl`	Computational Intelligence: Principles, Techniques and Applications. Comput. J. Jan Peters
2007	—	`conf`	Policy Learning for Motor Skills. ICONIP (2) Jan Peters, Stefan Schaal
2007	A*	`conf`	Reinforcement Learning for Operational Space Control. ICRA Jan Peters, Stefan Schaal
2007	A*	`conf`	Reinforcement learning by reward-weighted regression for operational space control. ICML Jan Peters, Stefan Schaal
2007	—	`conf`	Solving Deep Memory POMDPs with Recurrent Policy Gradients. ICANN (1) Daan Wierstra, Alexander Förster, Jan Peters, Jürgen Schmidhuber
2007	—	`conf`	Towards Machine Learning of Motor Skills. AMS Jan Peters, Stefan Schaal, Bernhard Schölkopf
2007	A	`conf`	Towards compliant humanoids-an experimental assessment of suitable task space position/orientation controllers. IROS Jun Nakanishi, Michael N. Mistry, Jan Peters, Stefan Schaal
2006	—	`conf`	A Bayesian Approach to Nonlinear Parameter Identification for Rigid Body Dynamics. Robotics: Science and Systems Jo-Anne Ting, Michael N. Mistry, Jan Peters, Stefan Schaal, Jun Nakanishi
2006	—	`conf`	Learning Operational Space Control. Robotics: Science and Systems Jan Peters, Stefan Schaal
2006	A	`conf`	Policy Gradient Methods for Robotics. IROS Jan Peters, Stefan Schaal
2006	B	`conf`	Reinforcement Learning for Parameterized Motor Primitives. IJCNN Jan Peters, Stefan Schaal
2005	A	`conf`	A unifying methodology for the control of robotic systems. IROS Jan Peters, Michael N. Mistry, Firdaus E. Udwadia, Rick Cory, Jun Nakanishi, Stefan Schaal
2005	A	`conf`	Comparative experiments on task space control with redundancy resolution. IROS Jun Nakanishi, Rick Cory, Michael N. Mistry, Jan Peters, Stefan Schaal
2005	—	`conf`	Natural Actor-Critic. ECML Jan Peters, Sethu Vijayakumar, Stefan Schaal
2003	C	`conf`	Learning Movement Primitives. ISRR Stefan Schaal, Jan Peters, Jun Nakanishi, Auke Jan Ijspeert
2002	J	`jnl`	Searching a Scalable Approach to Cerebellar Based Control. Appl. Intell. Jan Peters, Patrick van der Smagt