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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity.

, , , , , and . CoRR, (2020)

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A multiagent reinforcement learning algorithm by dynamically merging markov decision processes., and . AAMAS, page 845-846. ACM, (2002)Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits., , , , and . ALT, volume 6925 of Lecture Notes in Computer Science, page 189-203. Springer, (2011)Classification-Based Approximate Policy Iteration., , , and . IEEE Trans. Automat. Contr., 60 (11): 2989-2993 (2015)Optimizing over a Restricted Policy Class in Markov Decision Processes., , , and . CoRR, (2018)A Generalized Kernel Approach to Structured Output Learning, , and . CoRR, (2012)Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control., , , , , and . CoRR, (2019)Bayesian Policy Gradient and Actor-Critic Algorithms., , and . J. Mach. Learn. Res., (2016)Optimizing over a Restricted Policy Class in MDPs., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 3042-3050. PMLR, (2019)Natural actor-critic algorithms., , , and . Autom., 45 (11): 2471-2482 (2009)Adaptive Sampling for Minimax Fair Classification., , and . CoRR, (2021)