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Mitigating Covariate Shift in Imitation Learning via Offline Data Without Great Coverage., , , , and . CoRR, (2021)Imputation estimators for unnormalized models with missing data., , and . CoRR, (2019)Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness., , , , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 2291-2318. PMLR, (2023)Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach., , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 26517-26547. PMLR, (2022)Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage., and . ICLR, OpenReview.net, (2022)A Unified Statistically Efficient Estimation Framework for Unnormalized Models., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 809-819. PMLR, (2020)Refined Value-Based Offline RL under Realizability and Partial Coverage., , , and . CoRR, (2023)Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes., and . J. Mach. Learn. Res., (2020)Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning., and . Oper. Res., 70 (6): 3282-3302 (November 2022)Minimax Weight and Q-Function Learning for Off-Policy Evaluation, and . (2019)cite arxiv:1910.12809.