Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

3 November 2019

Papers citing "Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation"

7 / 7 papers shown

Title
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods Xing-ming Guo Bin Hu OffRL 30 3 0 14 Feb 2022
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 76 97 0 29 Sep 2021
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 19 24 0 08 Sep 2021
Distributed TD(0) with Almost No Communication R. Liu Alexander Olshevsky FedML 28 15 0 16 Apr 2021
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis Shaocong Ma Yi Zhou Shaofeng Zou OffRL 11 14 0 26 Oct 2020
Reinforcement Learning for Caching with Space-Time Popularity Dynamics A. Sadeghi G. Giannakis Gang Wang Fatemeh Sheikholeslami 21 1 0 19 May 2020
A Multistep Lyapunov Approach for Finite-Time Analysis of Biased Stochastic Approximation Gang Wang Bingcong Li G. Giannakis 31 28 0 10 Sep 2019