An Experience-Guided MAPPO Framework for Multi-UAV Cooperative Tracking in Continuous Action Spaces
A cooperative guidance law based on the experience-guided multi-agent proximal policy optimization (E-MAPPO) algorithm is proposed for multiple unmanned aerial vehicles (UAVs) to track dynamic points of interest in civilian applications and results indicate that the proposed method generalizes well to different types of maneuvering targets.