Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. (arXiv:2112.06771v2 [cs.AI] UPDATED)

Recent years have witnessed the great success of multi-agent systems (MAS).
Value decomposition, which decomposes joint action values into individual
action values, has been an important work in MAS. However, many value
decomposition methods ignore the coordination among different agents, leading
to the notorious "lazy agents" problem. To enhance the coordination in MAS,
this paper proposes HyperGraph CoNvolution MIX (HGCN-MIX), a method that
incorporates hypergraph convolution with value decomposition. HGCN-MIX models
agents as well as their relationships as a hypergraph, …

ai arxiv convolution hypergraph learning reinforcement reinforcement learning