Graph Convolutional Multi-Agent Reinforcement Learning for Cooperative UAV Swarm Navigation
Cooperative navigation of unmanned aerial vehicle (UAV) swarms in obstacle-rich environments requires simultaneous goal reaching, collision avoidance, and decentralized coordination. This paper presents a graph convolutional network-based multi-agent reinforcement learning (GCN-MARL) framework that explicitly represent...