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ORCIDOleg Arenz
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2020 – today
- 2024
[i11]Joe Watson, Chen Song
, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffman:
Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR abs/2408.09840 (2024)- 2023
- [j8]Siwei Ju, Peter van Vliet, Oleg Arenz, Jan Peters:
Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning. IEEE Robotics Autom. Lett. 8(7): 4107-4114 (2023) - [j7]Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann:
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. 2023 (2023) - [c6]Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters:
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. ICLR 2023 - [i10]Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters:
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. CoRR abs/2303.00599 (2023) - 2022
- [j6]Bang You, Oleg Arenz, Youping Chen, Jan Peters:
Integrating contrastive learning with dynamic models for reinforcement learning from images. Neurocomputing 476: 102-114 (2022) - [i9]Bang You, Oleg Arenz, Youping Chen, Jan Peters:
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images. CoRR abs/2203.01810 (2022) - [i8]Bang You, Jingming Xie, Youping Chen, Jan Peters, Oleg Arenz:
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning. CoRR abs/2209.05333 (2022) - [i7]Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann:
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR abs/2209.11533 (2022) - 2020
- [j5]Marco Ewerton, Oleg Arenz, Jan Peters:
Assisted teleoperation in changing environments with a mixture of virtual guides. Adv. Robotics 34(18): 1157-1170 (2020) - [j4]Oleg Arenz, Mingjun Zhong, Gerhard Neumann:
Trust-Region Variational Inference with Gaussian Mixture Models. J. Mach. Learn. Res. 21: 163:1-163:60 (2020) - [j3]Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann:
Probabilistic Approach to Physical Object Disentangling. IEEE Robotics Autom. Lett. 5(4): 5510-5517 (2020) - [j2]Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, Gerhard Neumann, Paolo Robuffo Giordano:
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping. IEEE Trans. Haptics 13(2): 270-285 (2020) - [c5]Philipp Becker, Oleg Arenz, Gerhard Neumann:
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. ICLR 2020 - [c4]Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen:
Deep Adversarial Reinforcement Learning for Object Disentangling. IROS 2020: 5504-5510 - [i6]Philipp Becker, Oleg Arenz, Gerhard Neumann:
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. CoRR abs/2001.08682 (2020) - [i5]Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann:
Probabilistic approach to physical object disentangling. CoRR abs/2002.11495 (2020) - [i4]Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen:
Deep Adversarial Reinforcement Learning for Object Disentangling. CoRR abs/2003.03779 (2020) - [i3]Oleg Arenz, Gerhard Neumann:
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods. CoRR abs/2008.03525 (2020) - [i2]Marco Ewerton, Oleg Arenz, Jan Peters:
Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides. CoRR abs/2008.05251 (2020)
2010 – 2019
- 2019
- [j1]Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters:
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning. Frontiers Robotics AI 6: 89 (2019) - [i1]Oleg Arenz, Mingjun Zhong, Gerhard Neumann:
Trust-Region Variational Inference with Gaussian Mixture Models. CoRR abs/1907.04710 (2019) - 2018
- [c3]Oleg Arenz, Mingjun Zhong, Gerhard Neumann:
Efficient Gradient-Free Variational Inference using Policy Search. ICML 2018: 234-243 - 2017
- [c2]Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann:
State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS 2017: 419-424 - 2016
- [c1]Oleg Arenz, Hany Abdulsamad, Gerhard Neumann:
Optimal control and inverse optimal control by distribution matching. IROS 2016: 4046-4053
Coauthor Index
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