Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms

27 April 2020

Papers citing "Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms"

6 / 6 papers shown

Title
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu K. Zhang Tamer Basar W. Yin 32 102 0 15 Nov 2022
On the Linear convergence of Natural Policy Gradient Algorithm S. Khodadadian P. Jhunjhunwala Sushil Mahavir Varma S. T. Maguluri 30 56 0 04 May 2021
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee Tengyu Xu Yingbin Liang Guanghui Lan 34 121 0 11 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 22 236 0 06 Nov 2020
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance Thinh T. Doan 7 44 0 03 Nov 2020
Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms Tengyu Xu Zhe Wang Yingbin Liang 18 57 0 07 May 2020