Decentralized Federated Policy Gradient with Byzantine Fault-Tolerance and Provably Fast Convergence

Philip Jordan, Florian Grötschla, Flint Xiaofeng Fan +1

In Federated Reinforcement Learning (FRL), agents aim to collaboratively learn a common task, while each agent is acting in its local environment without exchanging raw trajectorie…