A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms

4 December 2019

Papers citing "A Unified Switching System Perspective and O.D.E. Analysis of Q-Learning Algorithms"

12 / 12 papers shown

Title
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 38 2 0 26 Jan 2024
Stability of Q-Learning Through Design and Optimism Sean P. Meyn 31 10 0 05 Jul 2023
Backstepping Temporal Difference Learning Han-Dong Lim Dong-hwan Lee OffRL 41 2 0 20 Feb 2023
Sufficient Exploration for Convex Q-learning F. Lu P. Mehta Sean P. Meyn Gergely Neu OffRL 21 1 0 17 Oct 2022
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation Xing-ming Guo Bin Hu 13 2 0 20 Apr 2022
Regularized Q-learning Han-Dong Lim Donghwan Lee 27 10 0 11 Feb 2022
A Statistical Analysis of Polyak-Ruppert Averaged Q-learning Xiang Li Wenhao Yang Jiadong Liang Zhihua Zhang Michael I. Jordan 42 15 0 29 Dec 2021
Finite-Sample Analysis of Decentralized Q-Learning for Stochastic Games Zuguang Gao Qianqian Ma Tamer Bacsar J. Birge OffRL 24 7 0 15 Dec 2021
A Lyapunov Theory for Finite-Sample Guarantees of Asynchronous Q-Learning and TD-Learning Variants Zaiwei Chen S. T. Maguluri Sanjay Shakkottai Karthikeyan Shanmugam OffRL 105 54 0 02 Feb 2021
Finite-Time Analysis for Double Q-learning Huaqing Xiong Linna Zhao Yingbin Liang Wei Zhang 25 31 0 29 Sep 2020
Multi-Agent Reinforcement Learning in Stochastic Networked Systems Yiheng Lin Guannan Qu Longbo Huang Adam Wierman 34 38 0 11 Jun 2020
Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning Zaiwei Chen Sheng Zhang Thinh T. Doan John-Paul Clarke S. T. Maguluri 19 58 0 27 May 2019