FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation

Wenzheng Jiang, Ji Wang, Xiongtao Zhang +3

Federated Reinforcement Learning (FedRL) improves sample efficiency while preserving privacy; however, most existing studies assume homogeneous agents, limiting its applicability i…