Globally guided multi-agent reinforcement learning with decoupled critics for cooperative UAV path planning
Abstract Cooperative path planning for multiple unmanned aerial vehicles (UAVs) requires the simultaneous achievement of target navigation, collision avoidance, and formation coordination in complex obstacle environments. Existing multi-agent reinforcement learning methods often suffer from sparse rewards, local deadlo...