PAC Reinforcement Learning Algorithm for General-Sum Markov Games
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This paper presents a theoretical framework for probably approximately correct (PAC) multi-agent reinforcement learning (MARL) algorithms for Markov games. Using the idea of delayed Q-learning, the paper extends the well-known Nash Q-learning algorithm to buil... ...
