Distributed Reinforcement Learning for Cooperative UAV-UGV Formation Control with Multirate Dynamics
Coordinating heterogeneous aerial and ground vehicles with fundamentally different dynamic time-scales is a longstanding challenge in multi-agent robotics. This paper proposes a distributed reinforcement learning (DRL) framework for cooperative Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) formation c...