MOTIVATIONS AND RESOURCES OF SMALL-SCALE FARMERS FOR STAYING IN THEIR VILLAGE IN NORTHEAST THAILAND von Uehara, Masatoshi

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Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning von Kallus, Nathan, Uehara, Masatoshi

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Efficient evaluation of natural stochastic policies in off-line reinforcement learning von Kallus, Nathan, Uehara, Masatoshi

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Fast Rates for the Regret of Offline Reinforcement Learning von Hu, Yichun, Kallus, Nathan, Uehara, Masatoshi

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Statistical inference with semiparametric nonignorable nonresponse models von Uehara, Masatoshi, Lee, Danhyang, Kim, Jae‐Kwang

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Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage von Uehara, Masatoshi, Sun, Wen

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Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies von Kallus, Nathan, Uehara, Masatoshi

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Efficient Evaluation of Natural Stochastic Policies in Offline Reinforcement Learning von Kallus, Nathan, Uehara, Masatoshi

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Statistically Efficient Off-Policy Policy Gradients von Kallus, Nathan, Uehara, Masatoshi

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Distributional Offline Policy Evaluation with Predictive Error Guarantees von Wu, Runzhe, Uehara, Masatoshi, Sun, Wen

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A Review of Off-Policy Evaluation in Reinforcement Learning von Uehara, Masatoshi, Shi, Chengchun, Kallus, Nathan

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Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review von Uehara, Masatoshi, Zhao, Yulai, Biancalani, Tommaso, Levine, Sergey

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Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning von Kallus, Nathan, Uehara, Masatoshi

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Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes von Kallus, Nathan, Uehara, Masatoshi

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Intrinsically Efficient, Stable, and Bounded Off-Policy Evaluation for Reinforcement Learning von Kallus, Nathan, Uehara, Masatoshi

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Regularized DeepIV with Model Selection von Li, Zihao, Lan, Hui, Syrgkanis, Vasilis, Wang, Mengdi, Uehara, Masatoshi

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Functional Graphical Models: Structure Enables Offline Data-Driven Optimization von Kuba, Jakub Grudzien, Uehara, Masatoshi, Abbeel, Pieter, Levine, Sergey

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Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning von Kallus, Nathan, Uehara, Masatoshi

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Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage von Uehara, Masatoshi, Sun, Wen

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Representation Learning for Online and Offline RL in Low-rank MDPs von Uehara, Masatoshi, Zhang, Xuezhou, Sun, Wen

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