AI RESEARCH
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
arXiv CS.AI
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ArXi:2404.10976v4 Announce Type: replace-cross Cooperative Multi-Agent Reinforcement Learning (MARL) necessitates seamless collaboration among agents, often represented by an underlying relation graph. Existing methods for learning this graph primarily focus on agent-pair relations, neglecting higher-order relationships. While several approaches attempt to extend cooperation modelling to encompass behaviour similarities within groups, they commonly fall short in concurrently learning the latent graph, thereby cons.