Federated Reinforcement Learning Acceleration Method for Precise Control of Multiple Devices
Nowadays, Reinforcement Learning (RL) is applied to various real-world tasks and attracts much attention in the fields of games, robotics, and autonomous driving.It is very challenging and devices overwhelming to directly apply RL to real-world environments.Due to the reality gap simulated environment does not match perfectly to the real-world scen