Oleg Arenz

According to our database, Oleg Arenz authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning with Physics Knowledge for Prediction: A Survey.

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

CoRR, 2024

2023

Digital Twin of a Driver-in-the-Loop Race Car Simulation With Contextual Reinforcement Learning.

Siwei Ju, Peter van Vliet, Oleg Arenz, Jan Peters

IEEE Robotics Autom. Lett., July, 2023

A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models.

Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

Trans. Mach. Learn. Res., 2023

LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.

Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Integrating contrastive learning with dynamic models for reinforcement learning from images.

Bang You, Oleg Arenz, Youping Chen, Jan Peters

Neurocomputing, 2022

Self-supervised Sequential Information Bottleneck for Robust Exploration in Deep Reinforcement Learning.

Bang You, Jingming Xie, Youping Chen, Jan Peters, Oleg Arenz

CoRR, 2022

2020

A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.

Firas Abi-Farraj, Claudio Pacchierotti, Oleg Arenz, Gerhard Neumann, Paolo Robuffo Giordano

IEEE Trans. Haptics, 2020

Probabilistic Approach to Physical Object Disentangling.

Joni Pajarinen, Oleg Arenz, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2020

Trust-Region Variational Inference with Gaussian Mixture Models.

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

J. Mach. Learn. Res., 2020

Non-Adversarial Imitation Learning and its Connections to Adversarial Methods.

Oleg Arenz, Gerhard Neumann

CoRR, 2020

Assisted teleoperation in changing environments with a mixture of virtual guides.

Marco Ewerton, Oleg Arenz, Jan Peters

Adv. Robotics, 2020

Deep Adversarial Reinforcement Learning for Object Disentangling.

Melvin Laux, Oleg Arenz, Jan Peters, Joni Pajarinen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.

Philipp Becker, Oleg Arenz, Gerhard Neumann

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning Trajectory Distributions for Assisted Teleoperation and Path Planning.

Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters

Frontiers Robotics AI, 2019

2018

Efficient Gradient-Free Variational Inference using Policy Search.

Oleg Arenz, Mingjun Zhong, Gerhard Neumann

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

State-Regularized Policy Search for Linearized Dynamical Systems.

Hany Abdulsamad, Oleg Arenz, Jan Peters, Gerhard Neumann

Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

2016

Optimal control and inverse optimal control by distribution matching.

Oleg Arenz, Hany Abdulsamad, Gerhard Neumann

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016