Reanalysis of Variance Reduced Temporal Difference Learning

Reanalysis of Variance Reduced Temporal Difference Learning

7 January 2020

Papers citing "Reanalysis of Variance Reduced Temporal Difference Learning"

19 / 19 papers shown

Title
KETCHUP: K-Step Return Estimation for Sequential Knowledge Distillation Jiabin Fan Guoqing Luo Michael Bowling Lili Mou OffRL 68 0 0 26 Apr 2025
Gap-Dependent Bounds for Q-Learning using Reference-Advantage Decomposition Zhong Zheng Haochen Zhang Lingzhou Xue OffRL 78 2 0 10 Oct 2024
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time Xiang Ji Gen Li OffRL 32 7 0 24 May 2023
n-Step Temporal Difference Learning with Optimal n Lakshmi Mandal S. Bhatnagar 29 2 0 13 Mar 2023
The Efficacy of Pessimism in Asynchronous Q-Learning Yuling Yan Gen Li Yuxin Chen Jianqing Fan OffRL 78 40 0 14 Mar 2022
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan 37 5 0 21 Jan 2022
Accelerated and instance-optimal policy evaluation with linear function approximation Tianjiao Li Guanghui Lan A. Pananjady OffRL 37 13 0 24 Dec 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning Gen Li Laixi Shi Yuxin Chen Yuejie Chi OffRL 45 51 0 09 Oct 2021
Online Bootstrap Inference For Policy Evaluation in Reinforcement Learning Pratik Ramprasad Yuantong Li Zhuoran Yang Zhaoran Wang W. Sun Guang Cheng OffRL 50 27 0 08 Aug 2021
Tighter Analysis of Alternating Stochastic Gradient Method for Stochastic Nested Problems Tianyi Chen Yuejiao Sun W. Yin 26 33 0 25 Jun 2021
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity Shaocong Ma Ziyi Chen Yi Zhou Shaofeng Zou 17 11 0 30 Mar 2021
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality Tengyu Xu Zhuoran Yang Zhaoran Wang Yingbin Liang OffRL 47 24 0 23 Feb 2021
Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis Gen Li Changxiao Cai Ee Yuting Wei Yuejie Chi OffRL 48 75 0 12 Feb 2021
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis Shaocong Ma Yi Zhou Shaofeng Zou OffRL 11 14 0 26 Oct 2020
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning Shuang Qiu Zhuoran Yang Xiaohan Wei Jieping Ye Zhaoran Wang 33 38 0 23 Aug 2020
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms Tengyu Xu Zhe Wang Yingbin Liang 26 57 0 07 May 2020
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms Tengyu Xu Zhe Wang Yingbin Liang 24 25 0 27 Apr 2020
Is Temporal Difference Learning Optimal? An Instance-Dependent Analysis K. Khamaru A. Pananjady Feng Ruan Martin J. Wainwright Michael I. Jordan OffRL 15 47 0 16 Mar 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