Learning Multi-Agent Communication from Graph Modeling Perspective

arXiv:2405.08550v1 Announce Type: new
Abstract: In numerous artificial intelligence applications, the collaborative efforts of multiple intelligent agents are imperative for the successful attainment of target objectives. To enhance coordination among these agents, a distributed communication framework is often employed. However, information sharing among all agents proves to be resource-intensive, while the adoption of a manually pre-defined communication architecture imposes limitations on inter-agent communication, thereby constraining the potential for collaborative efforts. In this study, we introduce a novel approach wherein we …

abstract adoption agent agents applications artificial artificial intelligence arxiv collaborative communication cs.lg distributed framework graph however information intelligence intelligent modeling multi-agent multiple perspective type while