Coordination Graphs for Constrained Multi-Agent Reinforcement Learning 事件

Coordination Graphs for Constrained Multi-Agent Reinforcement Learning arXiv:2606.02337v1 Announce Type: new Abstract: Constrained Multi-agent reinforcement learning (CMARL) faces two intertwined challenges: the joint action space grows exponentially with the number of agents, and additional requirements couple agents in ways that reward structure alone does not capture. We introduce Coordination Graphs for Constrained Multi-Agent Reinforcement Learning (CG-CMARL), a framework that addresses bo