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Two-Stage Homotopic Learning for Data-Driven Cluster Consensus in Multiagent Systems

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In this article, a novel homotopic reinforcement learning (RL) framework is proposed to address the distributed cluster consensus problem in continuous-time multiagent systems (MASs). For the first time, the investigated issue is formulated as a zero-sum diffe... ...