Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach - researchr publication authors

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Fumito Uwano, Naoki Tatebe, Masaya Nakata, Keiki Takadama, Tim Kovacs. Reinforcement Learning with Internal Reward for Multi-Agent Cooperation: A Theoretical Approach. EAI Endorsed Trans. Collaborative Computing, 2(8), 2016. [doi]

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