Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters 事件

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters arXiv:2606.02107v1 Announce Type: cross Abstract: This paper proposes a Network Distributed Multi-Agent Reinforcement Learning (ND-MARL) framework for quadcopter consensus control. Compared to conventional multi-agent MARL formulations that rely on centralized planning or fully decentralized execution, ND-MARL incorporates the swarm communication graph into the decision process. Under a 2-Neighbor commun