Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement
Learning

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning

27 January 2024

James Anderson

Papers citing "Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning"

5 / 5 papers shown

Title
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 81 4 0 17 Feb 2025
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
One-Shot Averaging for Distributed TD( $λ$ ) Under Markov Sampling Haoxing Tian I. Paschalidis Alexander Olshevsky OffRL 31 3 0 13 Mar 2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices Jiin Woo Laixi Shi Gauri Joshi Yuejie Chi OffRL 24 3 0 08 Feb 2024
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021