Oleg Arenz

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 24

Top Topics

Variational Inference

Density Estimation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. ICLR (2023)
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) (2023)
Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning. CoRR (2023)
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)
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR (2022)
Bang You, Oleg Arenz, Youping Chen, Jan Peters
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images. CoRR (2022)
Bang You, Jingming Xie, Youping Chen, Jan Peters, Oleg Arenz
Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning. CoRR (2022)
Bang You, Oleg Arenz, Youping Chen, Jan Peters
Integrating contrastive learning with dynamic models for reinforcement learning from images. Neurocomputing 476 (2022)
Marco Ewerton, Oleg Arenz, Jan Peters
Assisted teleoperation in changing environments with a mixture of virtual guides. Adv. Robotics 34 (18) (2020)
Philipp Becker, Oleg Arenz, Gerhard Neumann
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. ICLR (2020)
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) (2020)
Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
Deep Adversarial Reinforcement Learning for Object Disentangling. IROS (2020)
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
Probabilistic approach to physical object disentangling. CoRR (2020)
Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen
Deep Adversarial Reinforcement Learning for Object Disentangling. CoRR (2020)
Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann
Probabilistic Approach to Physical Object Disentangling. IEEE Robotics Autom. Lett. 5 (4) (2020)
Marco Ewerton, Oleg Arenz, Jan Peters
Assisted Teleoperation in Changing Environments with a Mixture of Virtual Guides. CoRR (2020)
Oleg Arenz, Gerhard Neumann
Non-Adversarial Imitation Learning and its Connections to Adversarial Methods. CoRR (2020)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Trust-Region Variational Inference with Gaussian Mixture Models. J. Mach. Learn. Res. 21 (2020)
Philipp Becker, Oleg Arenz, Gerhard Neumann
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. CoRR (2020)
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 (2019)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Trust-Region Variational Inference with Gaussian Mixture Models. CoRR (2019)
Oleg Arenz, Mingjun Zhong, Gerhard Neumann
Efficient Gradient-Free Variational Inference using Policy Search. ICML (2018)
Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann
State-Regularized Policy Search for Linearized Dynamical Systems. ICAPS (2017)
Oleg Arenz, Hany Abdulsamad, Gerhard Neumann
Optimal control and inverse optimal control by distribution matching. IROS (2016)