FedHQL: Federated Heterogeneous Q-Learning

Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai +3

Federated Reinforcement Learning (FedRL) encourages distributed agents to learn collectively from each other's experience to improve their performance without exchanging their raw…