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Toward Minimax Off-policy Value Estimation.

, , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)

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Combining policy gradient and Q-learning., , , and . ICLR (Poster), OpenReview.net, (2017)Sample Efficient Actor-Critic with Experience Replay., , , , , , and . ICLR (Poster), OpenReview.net, (2017)Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation.. J. Mach. Learn. Res., (2006)Variable Resolution Discretization for High-Accuracy Solutions of Optimal Control Problems., and . IJCAI, page 1348-1355. Morgan Kaufmann, (1999)Minimax Regret Bounds for Reinforcement Learning., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 263-272. PMLR, (2017)Pure Exploration in Multi-armed Bandits Problems., , and . ALT, volume 5809 of Lecture Notes in Computer Science, page 23-37. Springer, (2009)Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control., , and . ECML/PKDD (2), volume 8725 of Lecture Notes in Computer Science, page 66-81. Springer, (2014)Leverage the Average: an Analysis of Regularization in RL., , , , , and . CoRR, (2020)Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem., , , and . CoRR, (2013)On Minimax Optimal Offline Policy Evaluation., , and . CoRR, (2014)