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Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments., , , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 36593-36604. PMLR, (2023)Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11581-11591. PMLR, (2021)On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8737-8747. PMLR, (2021)Learning While Playing in Mean-Field Games: Convergence and Optimality., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 11436-11447. PMLR, (2021)Is Pessimism Provably Efficient for Offline RL?, , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5084-5096. PMLR, (2021)Adaptive Model Design for Markov Decision Process., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 3679-3700. PMLR, (2022)Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL., , , , , and . NeurIPS, (2022)Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL., , , , , and . NeurIPS, page 17913-17926. (2021)BooVI: Provably Efficient Bootstrapped Value Iteration., , , and . NeurIPS, page 7041-7053. (2021)Exponential Family Model-Based Reinforcement Learning via Score Matching., , , , , and . NeurIPS, (2022)