Joschka Boedecker

132 papers A* 10A 7B 3C 5Misc 4Journal 86Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Gaussian process-based motor hotspot hunting with concurrent optimization of TMS coil location and orientation. PLoS Comput. Biol. David Luis Schultheiss, Zsolt Turi, Joschka Boedecker, Andreas Vlachos
2026	J	`jnl`	Goal Achievement Guided Exploitation: A Principled Performance-Based Scheduling Framework for Reinforcement Learning. Trans. Mach. Learn. Res. Shengchao Yan, Baohe Zhang, Chenguang Huang, Joschka Boedecker, Wolfram Burgard
2026	J	`jnl`	Spectral Alignment in Forward-Backward Representations via Temporal Abstraction. CoRR Seyed Mahdi B. Azad, Jasper Hoffmann, Iman Nematollahi, Hao Zhu, Abhinav Valada, Joschka Boedecker
2025	J	`jnl`	Constrained Reinforcement Learning with Smoothed Log Barrier Function. Trans. Mach. Learn. Res. Baohe Zhang, Yuan Zhang, Hao Zhu, Shengchao Yan, Thomas Brox, Joschka Boedecker
2025	J	`jnl`	Disciplined Biconvex Programming. CoRR Hao Zhu, Joschka Boedecker
2025	J	`jnl`	Does TabPFN Understand Causal Structures? CoRR Omar Swelam, Lennart Purucker, Jake Robertson, Hanne Raum, Joschka Boedecker, Frank Hutter
2025	J	`jnl`	Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response. CoRR Aron Distelzweig, Yiwei Wang, Faris Janjos, Marcel Hallgarten, Mihai Dobre, Alexander Langmann, Joschka Boedecker, Johannes Betz
2025	J	`jnl`	Fast ECoT: Efficient Embodied Chain-of-Thought via Thoughts Reuse. CoRR Zhekai Duan, Yuan Zhang, Shikai Geng, Gaowen Liu, Joschka Boedecker, Chris Xiaoxuan Lu
2025	J	`jnl`	Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings. CoRR Seyed Mahdi B. Azad, Joschka Boedecker
2025	J	`jnl`	Fitting Reinforcement Learning Model to Behavioral Data under Bandits. CoRR Hao Zhu, Jasper Hoffmann, Baohe Zhang, Joschka Boedecker
2025	—	`conf`	Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. DAGM GCPR Mariella Dreissig, Simon Ruehle, Florian Piewak, Joschka Boedecker
2025	J	`jnl`	Information-Theoretic Policy Pre-Training with Empowerment. CoRR Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Michael Volpp, Joschka Boedecker
2025	J	`jnl`	Inverse Reinforcement Learning via Convex Optimization. CoRR Hao Zhu, Yuan Zhang, Joschka Boedecker
2025	J	`jnl`	Label-Efficient Point Cloud Segmentation with Active Learning. CoRR Johannes Meyer, Jasper Hoffmann, Felix Schulz, Dominik Merkle, Daniel Büscher, Alexander Reiterer, Joschka Boedecker, Wolfram Burgard
2025	J	`jnl`	MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation. CoRR Jan Ole von Hartz, Lukas Schweizer, Joschka Boedecker, Abhinav Valada
2025	J	`jnl`	Multi-BK-Net: Multi-Branch Multi-Kernel Convolutional Neural Networks for Clinical EEG Analysis. Trans. Mach. Learn. Res. Ann-Kathrin Kiessner, Tonio Ball, Joschka Boedecker
2025	J	`jnl`	Multi-convex Programming for Discrete Latent Factor Models Prototyping. CoRR Hao Zhu, Shengchao Yan, Jasper Hoffmann, Joschka Boedecker
2025	—	`conf`	One For All: A Unified Approach to Classification and Self-explanation. MICCAI (14) Mehdi Naouar, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit
2025	J	`jnl`	Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving. CoRR Aron Distelzweig, Faris Janjos, Oliver Scheel, Sirish Reddy Varra, Raghu Rajan, Joschka Boedecker
2025	J	`jnl`	SR-Reward: Taking The Path More Traveled. CoRR Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker
2025	J	`jnl`	SR-Reward: Taking The Path More Traveled. Trans. Mach. Learn. Res. Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker
2025	A*	`conf`	Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification. ICLR Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit
2025	J	`jnl`	Solving Inverse Problem for Multi-armed Bandits via Convex Optimization. CoRR Hao Zhu, Joschka Boedecker
2025	J	`jnl`	Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification. CoRR Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt, Florian Messerer, Katrin Baumgärtner, Shamburaj Sawant, Joschka Boedecker, Moritz Diehl, Sebastien Gros
2025	J	`jnl`	The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning. CoRR Jan Ole von Hartz, Adrian Röfer, Joschka Boedecker, Abhinav Valada
2024	J	`jnl`	Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators. CoRR Marieke Wesselkamp, Matthew Chantry, Ewan Pinnington, Margarita Choulga, Souhail Boussetta, Maria Kalweit, Joschka Boedecker, Carsten F. Dormann, Florian Pappenberger, Gianpaolo Balsamo
2024	J	`jnl`	BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design. CoRR Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Joschka Boedecker, Gabriel Kalweit
2024	J	`jnl`	Hierarchical Insights: Exploiting Structural Similarities for Reliable 3D Semantic Segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2024	A*	`conf`	Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach. ICAPS Yuan Zhang, Umashankar Deekshith, Jianhong Wang, Joschka Boedecker
2024	J	`jnl`	Latent Linear Quadratic Regulator for Robotic Control Tasks. CoRR Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka, Colin N. Jones, Joschka Boedecker
2024	A*	`conf`	Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. ICRA Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
2024	J	`jnl`	Multi-intention Inverse Q-learning for Interpretable Behavior Representation. Trans. Mach. Learn. Res. Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
2024	J	`jnl`	PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control. CoRR Jasper Hoffmann, Diego Fernandez Clausen, Julien Brosseit, Julian Bernhard, Klemens Esterle, Moritz Werling, Michael Karg, Joschka Boedecker
2024	J	`jnl`	Reaching the ceiling? Empirical scaling behaviour for deep EEG pathology classification. Comput. Biol. Medicine Ann-Kathrin Kiessner, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
2024	A	`conf`	Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots. IROS Shamil Mamedov, Rudolf Reiter, Seyed Mahdi B. Azad, Ruan Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers
2024	J	`jnl`	Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. CoRR Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker
2024	J	`jnl`	The Art of Imitation: Learning Long-Horizon Manipulation Tasks From Few Demonstrations. IEEE Robotics Autom. Lett. Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, Joschka Boedecker
2024	J	`jnl`	The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations. CoRR Jan Ole von Hartz, Tim Welschehold, Abhinav Valada, Joschka Boedecker
2024	A*	`conf`	The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning. NeurIPS Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Joschka Boedecker
2024	J	`jnl`	The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning. CoRR Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Joschka Boedecker
2024	A	`conf`	UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. ECAI Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
2024	J	`jnl`	UDUC: An Uncertainty-driven Approach for Learning-based Robust Control. CoRR Yuan Zhang, Jasper Hoffmann, Joschka Boedecker
2023	—	`conf`	A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. ECC Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl
2023	J	`jnl`	Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning. CoRR Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Joschka Boedecker, Tonio Ball
2023	J	`jnl`	CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. CoRR Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit
2023	—	`conf`	Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. ECMR Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
2023	J	`jnl`	Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model. CoRR Suresh Guttikonda, Jan Achterhold, Haolong Li, Joschka Boedecker, Joerg Stueckler
2023	J	`jnl`	Geometric Regularity with Robot Intrinsic Symmetry in Reinforcement Learning. CoRR Shengchao Yan, Yuan Zhang, Baohe Zhang, Joschka Boedecker, Wolfram Burgard
2023	—	`conf`	Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. CDC Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl
2023	J	`jnl`	Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation. CoRR Andrea Ghezzi, Jasper Hoffmann, Jonathan Frey, Joschka Boedecker, Moritz Diehl
2023	J	`jnl`	Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving. CoRR Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou
2023	J	`jnl`	L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization. CoRR Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
2023	—	`conf`	On the Calibration of Uncertainty Estimation in LiDAR-Based Semantic Segmentation. ITSC Mariella Dreissig, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	Patient groups in Rheumatoid arthritis identified by deep learning respond differently to biologic or targeted synthetic DMARDs. PLoS Comput. Biol. Maria Kalweit, Andrea M. Burden, Joschka Boedecker, Thomas Hügle, Theresa Burkard
2023	Misc	`conf`	Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRL Yuan Zhang, Jianhong Wang, Joschka Boedecker
2023	J	`jnl`	Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit
2023	C	`conf`	Survey on LiDAR Perception in Adverse Weather Conditions. IV Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	Survey on LiDAR Perception in Adverse Weather Conditions. CoRR Mariella Dreissig, Dominik Scheuble, Florian Piewak, Joschka Boedecker
2023	J	`jnl`	The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. CoRR Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
2023	J	`jnl`	The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation. IEEE Robotics Autom. Lett. Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
2022	J	`jnl`	A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing. CoRR Rudolf Reiter, Jasper Hoffmann, Joschka Boedecker, Moritz Diehl
2022	A*	`conf`	Affordance Learning from Play for Sample-Efficient Policy Learning. ICRA Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Affordance Learning from Play for Sample-Efficient Policy Learning. CoRR Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Correct Me If I am Wrong: Interactive Learning for Robotic Manipulation. IEEE Robotics Autom. Lett. Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada
2022	A*	`conf`	Deep Surrogate Q-Learning for Autonomous Driving. ICRA Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2022	Misc	`conf`	Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRL Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRR Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	On the calibration of underrepresented classes in LiDAR-based semantic segmentation. CoRR Mariella Dreissig, Florian Piewak, Joschka Boedecker
2022	J	`jnl`	Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning. CoRR Branka Mirchevska, Moritz Werling, Joschka Boedecker
2022	J	`jnl`	Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. CoRR Yuan Zhang, Jianhong Wang, Joschka Boedecker
2022	J	`jnl`	Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
2021	J	`jnl`	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning. CoRR Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
2021	A*	`conf`	Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. ICRA Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2021	—	`conf`	AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
2021	J	`jnl`	Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation. CoRR Eugenio Chisari, Tim Welschehold, Joschka Boedecker, Wolfram Burgard, Abhinav Valada
2021	A	`conf`	Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. IROS Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2021	A	`conf`	Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. IROS Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
2021	J	`jnl`	Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. CoRR Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann
2020	J	`jnl`	A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. CoRR Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
2020	J	`jnl`	Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. CoRR Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	A*	`conf`	Deep Inverse Q-learning with Constraints. NeurIPS Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Deep Inverse Q-learning with Constraints. CoRR Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Deep Surrogate Q-Learning for Autonomous Driving. CoRR Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	A*	`conf`	Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. ICRA Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. CoRR Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	A	`conf`	Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning. IROS Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard
2020	J	`jnl`	Machine-Learning-Based Diagnostics of EEG Pathology. CoRR Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
2020	J	`jnl`	Machine-learning-based diagnostics of EEG pathology. NeuroImage Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabaszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
2019	J	`jnl`	A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing. Robotics Auton. Syst. Daniel Kuhner, Lukas Dominique Josef Fiederer, Johannes Aldinger, Felix Burget, Martin Völker, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
2019	J	`jnl`	Adaptive long-term control of biological neural networks with Deep Reinforcement Learning. Neurocomputing Jan M. Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2019	A	`conf`	Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. IROS Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. CoRR Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. CoRR Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball
2019	J	`jnl`	Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause
2019	A*	`conf`	Multimodal Spatio-Temporal Information in End-to-End Networks for Automotive Steering Prediction. ICRA Mohamed Abou-Hussein, Stefan H. Müller, Joschka Boedecker
2019	J	`jnl`	Off-policy Multi-step Q-learning. CoRR Gabriel Kalweit, Maria Hügle, Joschka Boedecker
2019	J	`jnl`	Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard
2019	J	`jnl`	VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
2018	B	`conf`	Controlling biological neural networks with deep reinforcement learning. ESANN Jan Wülfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2018	B	`conf`	Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. IJCNN Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
2018	J	`jnl`	Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. CoRR Maria Hügle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker
2018	—	`conf`	Hardware Implementation of a Performance and Energy-optimized Convolutional Neural Network for Seizure Detection. EMBC Simon Heller, Maria Hügle, Iman Nematollahi, Farrokh Manzouri, Matthias Dümpelmann, Andreas Schulze-Bonhage, Joschka Boedecker, Peter Woias
2018	—	`conf`	High-level Decision Making for Safe and Reasonable Autonomous Lane Changing using Reinforcement Learning. ITSC Branka Mirchevska, Christian Pek, Moritz Werling, Matthias Althoff, Joschka Boedecker
2018	Misc	`conf`	Prediction of electrocardiography features points using seismocardiography data: a machine learning approach. UbiComp Robert Dürichen, Keshav Deep Verma, Seow Yuen Yee, Thomas Rocznik, Philip Schmidt, Joschka Boedecker, Christian Peters
2018	J	`jnl`	VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control. CoRR Jingwei Zhang, Lei Tai, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard
2017	J	`jnl`	Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills. CoRR Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Voelker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
2017	—	`conf`	Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills. ECMR Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Völker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
2017	A	`conf`	Deep reinforcement learning with successor features for navigation across similar environments. IROS Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
2017	J	`jnl`	Neural SLAM. CoRR Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu
2017	Misc	`conf`	Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. CoRL Gabriel Kalweit, Joschka Boedecker
2016	J	`jnl`	Autonomous Optimization of Targeted Stimulation of Neuronal Networks. PLoS Comput. Biol. Sreedhar S. Kumar, Jan Wülfing, Samora Okujeni, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert
2016	J	`jnl`	Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments. CoRR Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard
2015	J	`jnl`	Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. Künstliche Intell. Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer
2015	—	`conf`	Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. NIPS Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller
2015	J	`jnl`	Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images. CoRR Manuel Watter, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller
2014	—	`conf`	Approximate real-time optimal control based on sparse Gaussian process models. ADPRL Joschka Boedecker, Jost Tobias Springenberg, Jan Wülfing, Martin A. Riedmiller
2013	J	`jnl`	Guided Self-Organization of Input-Driven Recurrent Neural Networks. CoRR Oliver Obst, Joschka Boedecker
2013	J	`jnl`	On active information storage in input-driven systems CoRR Oliver Obst, Joschka Boedecker, Benedikt Schmidt, Minoru Asada
2012	J	`jnl`	Information processing in echo state networks at the edge of chaos. Theory Biosci. Joschka Boedecker, Oliver Obst, Joseph T. Lizier, Norbert Michael Mayer, Minoru Asada
2012	—	`conf`	Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression. Robotics: Science and Systems Christoph Hartmann, Joschka Boedecker, Oliver Obst, Shuhei Ikemoto, Minoru Asada
2011	—	`conf`	Between Frustration and Elation: Sense of Control Regulates the lntrinsic Motivation for Motor Learning. Lifelong Learning Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith
2011	—	`conf`	Trying anyways: How ignoring the errors may help in learning new skills. ICDL-EPIROB Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith
2010	—	`conf`	Improving Recurrent Neural Network Performance Using Transfer Entropy. ICONIP (2) Oliver Obst, Joschka Boedecker, Minoru Asada
2009	J	`jnl`	Robot motion description and real-time management with the Harmonic Motion Description Protocol. Robotics Auton. Syst. Norbert Michael Mayer, Joschka Boedecker, Minoru Asada
2009	B	`conf`	Studies on reservoir initialization and dynamics shaping in echo state networks. ESANN Joschka Boedecker, Oliver Obst, Norbert Michael Mayer, Minoru Asada
2007	C	`conf`	HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction. RoboCup Norbert Michael Mayer, Joschka Boedecker, Kazuhiro Masui, Masaki Ogino, Minoru Asada
2007	C	`conf`	Introducing Physical Visualization Sub-league. RoboCup Rodrigo da Silva Guerra, Joschka Boedecker, Norbert Michael Mayer, Shinzo Yanagimachi, Yasuji Hirosawa, Kazuhiko Yoshikawa, Masaaki Namekawa, Minoru Asada
2006	C	`conf`	3D2Real: Simulation League Finals in Real Robots. RoboCup Norbert Michael Mayer, Joschka Boedecker, Rodrigo da Silva Guerra, Oliver Obst, Minoru Asada
2005	C	`conf`	Flexible Coordination of Multiagent Team Behavior Using HTN Planning. RoboCup Oliver Obst, Joschka Boedecker
2005	—	`conf`	Getting closer: How Simulation and Humanoid League can benefit from each other. AMiRE Joschka Boedecker, Norbert Michael Mayer, Masaki Ogino, Rodrigo da Silva Guerra, Masaaki Kikuchi, Minoru Asada