Distributed TD(0) with Almost No Communication

16 April 2021

Papers citing "Distributed TD(0) with Almost No Communication"

10 / 10 papers shown

Title
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Towards Fast Rates for Federated and Multi-Task Reinforcement Learning Feng Zhu Robert W. Heath Jr. Aritra Mitra 35 1 0 09 Sep 2024
One-Shot Averaging for Distributed TD( $λ$ ) Under Markov Sampling Haoxing Tian I. Paschalidis Alexander Olshevsky OffRL 39 3 0 13 Mar 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning Paul Mangold S. Samsonov Safwan Labbi I. Levin Réda Alami Alexey Naumov Eric Moulines 38 1 0 06 Feb 2024
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning Chenyu Zhang Han Wang Aritra Mitra James Anderson 34 18 0 27 Jan 2024
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling Nicolò Dal Fabbro A. Mitra George J. Pappas FedML 35 12 0 14 May 2023
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity Han Wang A. Mitra Hamed Hassani George J. Pappas James Anderson FedML 26 21 0 04 Feb 2023
Temporal Difference Learning with Compressed Updates: Error-Feedback meets Reinforcement Learning A. Mitra George J. Pappas Hamed Hassani 19 12 0 03 Jan 2023
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 13 24 0 08 Sep 2021
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation Harshat Kumar Alec Koppel Alejandro Ribeiro 99 79 0 18 Oct 2019