Natural Actor-Critic for Robust Reinforcement Learning with Function
Approximation

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation

17 July 2023

Papers citing "Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation"

16 / 16 papers shown

Title
Trajectory Entropy Reinforcement Learning for Predictable and Robust Control Bang You Chenxu Wang Huaping Liu 15 0 0 07 May 2025
Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning Yang Xu Washim Uddin Mondal Vaneet Aggarwal OffRL 38 0 0 24 Feb 2025
Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes Navdeep Kumar Adarsh Gupta Maxence Mohamed Elfatihi Giorgia Ramponi Kfir Y. Levy Shie Mannor 46 0 0 13 Feb 2025
Towards Unraveling and Improving Generalization in World Models Qiaoyi Fang Weiyu Du Hang Wang Junshan Zhang OOD 23 0 0 03 Jan 2025
Linear Convergence of Independent Natural Policy Gradient in Games with Entropy Regularization Youbang Sun Tao-Wen Liu P. R. Kumar Shahin Shahrampour 19 0 0 04 May 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 61 4 0 04 Apr 2024
Provable Policy Gradient Methods for Average-Reward Markov Potential Games Min Cheng Ruida Zhou P. R. Kumar Chao Tian 38 2 0 09 Mar 2024
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games Youbang Sun Tao-Wen Liu Ruida Zhou P. R. Kumar Shahin Shahrampour 13 6 0 15 Oct 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach T. Sandholm Furong Huang Stephen Marcus McAleer OOD 20 0 0 22 Jul 2023
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel Kaixin Wang Uri Gadot Navdeep Kumar Kfir Y. Levy Shie Mannor 19 2 0 09 Jun 2023
Environment Design for Inverse Reinforcement Learning Thomas Kleine Buening Victor Villin Christos Dimitrakakis 17 1 0 26 Oct 2022
Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization Carlo Alfano Patrick Rebeschini 49 13 0 30 Sep 2022
Robust $Q$ -learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty Ariel Neufeld J. Sester OOD 21 14 0 30 Sep 2022
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 58 23 0 21 Sep 2022
Policy Gradient Method For Robust Reinforcement Learning Yue Wang Shaofeng Zou 79 67 0 15 May 2022
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 65 96 0 29 Sep 2021