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Augmented Proximal Policy Optimization for Safe Reinforcement Learning.

, , , , and . AAAI, page 7288-7295. AAAI Press, (2023)

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CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning., , , , , and . CoRR, (2022)MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 233-250. PMLR, (2021)Constrained Update Projection Approach to Safe Policy Optimization., , , , , , , and . CoRR, (2022)Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction., , , , , , , and . CoRR, (2024)Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective., , , , , , , , , and . CoRR, (2024)Heterogeneous-Agent Reinforcement Learning., , , , and . CoRR, (2023)OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research., , , , , , , , , and . CoRR, (2023)Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation., , , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (5): 2804-2818 (May 2024)AI Alignment: A Comprehensive Survey., , , , , , , , , and 15 other author(s). CoRR, (2023)Safe DreamerV3: Safe Reinforcement Learning with World Models., , , , and . CoRR, (2023)