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This paper addresses the inherent complexity in coordinating learned behavioral strategies of multiple agents working towards a common goal. Because of the interactions among the agents, a primary challenge of policy learning is escalating computational complexity with increasing number of agents and the size of the task space (including action choices and world states). We employ an approach that...
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