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Bandits with partially observable confounded data., , , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 430-439. AUAI Press, (2021)Principled Offline RL in the Presence of Rich Exogenous Information., , , , , , , , , and 1 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 14390-14421. PMLR, (2023)Provable Reinforcement Learning with a Short-Term Memory., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 5832-5850. PMLR, (2022)Prospective Side Information for Latent MDPs., , , and . ICML, OpenReview.net, (2024)Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies., , , and . NeurIPS, page 12203-12213. (2019)Reinforcement Learning in Reward-Mixing MDPs., , , and . NeurIPS, page 2253-2264. (2021)Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models., , , , , , , , , and . Trans. Mach. Learn. Res., (2023)Confidence-Budget Matching for Sequential Budgeted Learning., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2937-2947. PMLR, (2021)PcLast: Discovering Plannable Continuous Latent States., , , , , , , , , and 4 other author(s). CoRR, (2023)Reinforcement Learning with Trajectory Feedback., , and . AAAI, page 7288-7295. AAAI Press, (2021)