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Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation.

, , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2701-2709. PMLR, (2020)

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When is Agnostic Reinforcement Learning Statistically Tractable?, , , , and . CoRR, (2023)Model-Based Reinforcement Learning with Value-Targeted Regression., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 463-474. PMLR, (2020)Model-Based Reinforcement Learning with Value-Targeted Regression., , , and . L4DC, volume 120 of Proceedings of Machine Learning Research, page 666-686. PMLR, (2020)Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data., , , and . CoRR, (2024)Intrinsic Dimension Estimation Using Wasserstein Distance., , , and . J. Mach. Learn. Res., (2022)Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2701-2709. PMLR, (2020)Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster., , and . SIAM J. Sci. Comput., 43 (5): A3184-A3211 (2021)Entropic characterization of optimal rates for learning Gaussian mixtures., , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 4296-4335. PMLR, (2023)Intrinsic Dimension Estimation., , , and . CoRR, (2021)Linear Reinforcement Learning with Ball Structure Action Space., , , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 755-775. PMLR, (2023)