Xuan-He Yu

FedKGD: Federated Knowledge-Generating Distillation for Heterogeneous Reinforcement Learning

Federated Reinforcement Learning (FedRL) improves sample efficiency while preserving privacy; however, most existing studies assume homogeneous agents or utilize public datasets for knowledge distillation to address agent heterogeneity, which limits its applicability in real-world heterogeneous scenarios. Knowledge dis...