Personalized Observation Normalization for Federated Reinforcement Learning in Simulation Environments with Heterogeneity

Yiran Pang, Zhen Ni, Xiangnan Zhong

Federated reinforcement learning (FedRL) enables multiple agents to collaboratively train a global policy without sharing raw data, making it ideal for privacy-sensitive applicatio…