Arenz, Oleg

8 publications

TMLR 2025 Machine Learning with Physics Knowledge for Prediction: A Survey Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Buelow, Tanmay Goyal, Jan Peters, Martin W Hoffmann

ICML 2025 Maximum Total Correlation Reinforcement Learning Bang You, Puze Liu, Huaping Liu, Jan Peters, Oleg Arenz

TMLR 2025 Rollout Total Correlation for Deep Reinforcement Learning Bang You, Huaping Liu, Jan Peters, Oleg Arenz

TMLR 2023 A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

ICLR 2023 LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters

ICLR 2020 Expected Information Maximization: Using the I-Projection for Mixture Density Estimation Philipp Becker, Oleg Arenz, Gerhard Neumann

JMLR 2020 Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz, Mingjun Zhong, Gerhard Neumann

ICML 2018 Efficient Gradient-Free Variational Inference Using Policy Search Oleg Arenz, Gerhard Neumann, Mingjun Zhong