Oleg Arenz - RankMe

38 papers A* 5A 3Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosting deep Reinforcement Learning using pretraining with Logical Options. CoRR Zihan Ye, Phil Chau, Raban Emunds, Jannis Blüml, Cedric Derstroff, Quentin Delfosse, Oleg Arenz, Kristian Kersting
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`	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
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	J	`jnl`	Discrete Variational Autoencoding via Policy Search. CoRR Michael Drolet, Firas Al-Hafez, Aditya Bhatt, Jan Peters, Oleg Arenz
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	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	J	`jnl`	Learning from Less: Guiding Deep Reinforcement Learning with Differentiable Symbolic Planning. CoRR Zihan Ye, Oleg Arenz, Kristian Kersting
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	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`	Rollout Total Correlation for Deep Reinforcement Learning. Trans. Mach. Learn. Res. Bang You, Huaping Liu, Jan Peters, Oleg Arenz
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
2023	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
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`	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
2022	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
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`	Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning. CoRR Bang You, Jingming Xie, Youping Chen, Jan Peters, Oleg Arenz
2020	J	`jnl`	A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping. IEEE Trans. Haptics Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, Gerhard Neumann, Paolo Robuffo Giordano
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	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	A*	`conf`	Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. ICLR Philipp Becker, Oleg Arenz, Gerhard Neumann
2020	J	`jnl`	Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. CoRR Philipp Becker, Oleg Arenz, Gerhard Neumann
2020	J	`jnl`	Non-Adversarial Imitation Learning and its Connections to Adversarial Methods. CoRR Oleg Arenz, Gerhard Neumann
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`	Trust-Region Variational Inference with Gaussian Mixture Models. J. Mach. Learn. Res. Oleg Arenz, Mingjun Zhong, Gerhard Neumann
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`	Trust-Region Variational Inference with Gaussian Mixture Models. CoRR Oleg Arenz, Mingjun Zhong, Gerhard Neumann
2018	A*	`conf`	Efficient Gradient-Free Variational Inference using Policy Search. ICML Oleg Arenz, Mingjun Zhong, Gerhard Neumann
2017	A*	`conf`	State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann
2016	A	`conf`	Optimal control and inverse optimal control by distribution matching. IROS Oleg Arenz, Hany Abdulsamad, Gerhard Neumann