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On Multi-Armed Bandit Designs for Dose-Finding Trials., , and . J. Mach. Learn. Res., (2021)Dealing with Unknown Variances in Best-Arm Identification., , and . ALT, volume 201 of Proceedings of Machine Learning Research, page 776-849. PMLR, (2023)Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited., , , and . ALT, volume 132 of Proceedings of Machine Learning Research, page 578-598. PMLR, (2021)A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players., , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1211-1221. PMLR, (2020)Towards Instance-Optimality in Online PAC Reinforcement Learning., , and . CoRR, (2023)Active Coverage for PAC Reinforcement Learning., , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 5044-5109. PMLR, (2023)A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces., , , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 3538-3546. PMLR, (2021)Kernel-Based Reinforcement Learning: A Finite-Time Analysis., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2783-2792. PMLR, (2021)Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals., and . CoRR, (2018)New Algorithms for Multiplayer Bandits when Arm Means Vary Among Players., and . CoRR, (2019)