Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
DGX agentarXiv:2605.17393v1 Announce Type: new Abstract: Coordination graphs are a central abstraction in cooperative multi-agent reinforcement learning (MARL), yet existing sparse-graph learners lack a theore