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Daniel Palenicek

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Pseudo-Likelihood Inference

Nov 28, 2023
Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters

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Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

Mar 07, 2023
Daniel Palenicek, Michael Lutter, Joao Carvalho, Jan Peters

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Revisiting Model-based Value Expansion

Mar 28, 2022
Daniel Palenicek, Michael Lutter, Jan Peters

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Nov 01, 2020
Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

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SAMBA: Safe Model-Based & Active Reinforcement Learning

Jun 12, 2020
Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Abdullah, Aivar Sootla, Jun Wang, Haitham Ammar

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