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    Decomposition methods with deep corrections for reinforcement learning

    Decomposition methods have been proposed to approximate solutions to large sequential decision making problems. In contexts where an agent interacts with multiple entities, utility decomposition can be used to...

    Maxime Bouton, Kyle D. Julian, Alireza Nakhaei in Autonomous Agents and Multi-Agent Systems (2019)