Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation

8 June 2021

Papers citing "Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation"

10 / 10 papers shown

Title
Ordering-based Conditions for Global Convergence of Policy Gradient Methods Jincheng Mei Bo Dai Alekh Agarwal Mohammad Ghavamzadeh Csaba Szepesvári Dale Schuurmans 60 4 0 02 Apr 2025
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes Johannes Muller Semih Cayci 44 0 0 06 Jun 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 38 2 0 26 Jan 2024
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards Semih Cayci A. Eryilmaz 18 2 0 20 Jun 2023
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning Yizhou Zhang Guannan Qu Pan Xu Yiheng Lin Zaiwei Chen Adam Wierman 39 25 0 30 Nov 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees Siliang Zeng Chenliang Li Alfredo García Min-Fong Hong 34 42 0 04 Oct 2022
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization Carlo Alfano Patrick Rebeschini 54 13 0 30 Sep 2022
Algorithm for Constrained Markov Decision Process with Linear Convergence E. Gladin Maksim Lavrik-Karmazin K. Zainullina Varvara Rudenko Alexander V. Gasnikov Martin Takáč 30 6 0 03 Jun 2022
On the Linear convergence of Natural Policy Gradient Algorithm S. Khodadadian P. Jhunjhunwala Sushil Mahavir Varma S. T. Maguluri 38 56 0 04 May 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 91 136 0 30 Jan 2021