Miao Yu

Byzantine-Resilient Federated Policy Gradient for Reinforcement Learning

Federated reinforcement learning (FedRL) permits agents to optimize a shared policy without exchanging raw trajectories, but noisy policy-gradient estimates make malicious updates difficult to distinguish from honest variation. We propose FedPG-BR, which couples stochastic variance-reduced policy gradient (SVRPG) updat...