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News

May 1, 2026 Our work Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models is accepted by ICML 2026!
Sep 26, 2024 Our work Provably and practically efficient adversarial imitation learning with general function approximation is accepted by NeurIPS 2024!
May 3, 2024 Our work Policy Representation Can be Utilized for More Generalizable Offline Dynamics Model Learning is accepted by ICML 2024!
Jan 16, 2024 Our work Flow to better: Offline preference-based reinforcement learning via preferred trajectory generation is accepted by ICLR 2024!
Dec 9, 2023 Our work Episodic return decomposition by difference of implicitly assigned sub-trajectory reward is accepted by AAAI 2024!