Towards Fast Rates for Federated and Multi-Task Reinforcement Learning

Feng Zhu, Robert W. Heath, Aritra Mitra

We consider a setting involving $N$ agents, where each agent interacts with an environment modeled as a Markov Decision Process (MDP). The agents' MDPs differ in their reward funct…