Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward

Jan Kretínský, Fabian Michel, Lukas Michel, Guillermo A. Pérez. Finite-Memory Near-Optimal Learning for Markov Decision Processes with Long-Run Average Reward. In Ryan P. Adams, Vibhav Gogate, editors, Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, UAI 2020, virtual online, August 3-6, 2020. pages 480, AUAI Press, 2020. [doi]

Abstract

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