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

, , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2701-2709. PMLR, (2020)

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When is Agnostic Reinforcement Learning Statistically Tractable?, , , , и . CoRR, (2023)Model-Based Reinforcement Learning with Value-Targeted Regression., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 463-474. PMLR, (2020)Model-Based Reinforcement Learning with Value-Targeted Regression., , , и . L4DC, том 120 из Proceedings of Machine Learning Research, стр. 666-686. PMLR, (2020)Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data., , , и . CoRR, (2024)Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation., , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2701-2709. PMLR, (2020)Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster., , и . SIAM J. Sci. Comput., 43 (5): A3184-A3211 (2021)Intrinsic Dimension Estimation., , , и . CoRR, (2021)Linear Reinforcement Learning with Ball Structure Action Space., , , и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 755-775. PMLR, (2023)Entropic characterization of optimal rates for learning Gaussian mixtures., , и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 4296-4335. PMLR, (2023)Towards solving 2-TBSG efficiently., , и . Optim. Methods Softw., 35 (4): 706-721 (2020)