Air-M: A Visual Reality Many-Agent Reinforcement Learning Platform for Large-Scale Aerial Unmanned System
Jiabin Lou,Wenjun Wu,Shuhao Liao,Rongye Shi,Jiabin Lou,Wenjun Wu,Shuhao Liao,Rongye Shi
Reinforcement learning for swarms of flying robots is a challenging task that requires a large number of data samples. Moreover, the problem of sim-to-real transfer has long been a challenge in robotics algorithm deployment. To address these issues, we propose Air-M, a platform that facilitates large-scale drone swarm learning in a distributed docker container environment and deployment in a virtu...
