Single-Loop Federated Actor-Critic across Heterogeneous Environments

Ye Zhu, Xiaowen Gong

Federated reinforcement learning (FRL) has emerged as a promising paradigm, enabling multiple agents to collaborate and learn a shared policy adaptable across heterogeneous environ…