Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning

arXiv:2404.10976v2 Announce Type: replace
Abstract: 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 constraining the information exchange among partially observed agents. To overcome these limitations, we present a novel approach to infer …

abstract agent agents arxiv collaboration cs.ai cs.lg cs.ma focus graph modelling multi-agent reinforcement reinforcement learning relations relationships type