Two-Stage Homotopic Learning for Data-Driven Cluster Consensus in Multiagent Systems.
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 differential game using a proposed minmax game policy, in which a...