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Frequentist Regret Bounds for Randomized Least-Squares Value Iteration., , , и . CoRR, (2019)No-Regret Exploration in Goal-Oriented Reinforcement Learning., , , , и . CoRR, (2019)Cost-Sensitive Approach to Batch Size Adaptation for Gradient Descent., и . CoRR, (2017)Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning., , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1573-1581. PMLR, (2018)Stochastic Variance-Reduced Policy Gradient., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4023-4032. PMLR, (2018)A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces., , , , и . CoRR, (2020)A Provably Efficient Sample Collection Strategy for Reinforcement Learning., , , и . CoRR, (2020)Leveraging Good Representations in Linear Contextual Bandits., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8371-8380. PMLR, (2021)Inverse Reinforcement Learning through Policy Gradient Minimization., и . AAAI, стр. 1993-1999. AAAI Press, (2016)Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path., , , и . CoRR, (2022)