Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning

5 March 2023

Papers citing "Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning"

22 / 22 papers shown

Title
Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning Zhishuai Liu Weixin Wang Pan Xu 28 1 0 30 Sep 2024
Distributionally Robust Constrained Reinforcement Learning under Strong Duality Zhengfei Zhang Kishan Panaganti Laixi Shi Yanan Sui Adam Wierman Yisong Yue OOD 37 3 0 22 Jun 2024
Tractable Equilibrium Computation in Markov Games through Risk Aversion Eric Mazumdar Kishan Panaganti Laixi Shi 31 1 0 20 Jun 2024
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou 24 0 0 17 Jun 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 71 4 0 04 Apr 2024
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes He Wang Laixi Shi Yuejie Chi OffRL 34 6 0 19 Mar 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation Zhishuai Liu Pan Xu OOD OffRL 34 8 0 23 Feb 2024
On the Foundation of Distributionally Robust Reinforcement Learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OffRL 27 16 0 15 Nov 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 28 6 0 27 Oct 2023
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits Yi Shen Pan Xu Michael M. Zavlanos OffRL 31 5 0 15 Sep 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 34 10 0 05 Sep 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 35 0 0 22 Jul 2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation Ruida Zhou Tao-Wen Liu Min Cheng D. Kalathil P. R. Kumar Chao Tian 35 19 0 17 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 27 18 0 15 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty Guanin Liu Zhihan Zhou Han Liu Lifeng Lai 28 1 0 15 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 33 5 0 20 Jun 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 31 2 0 09 Jun 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Gen Li Yuting Wei Yuxin Chen M. Geist Yuejie Chi OOD 25 30 0 26 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 37 29 0 16 May 2023
Towards Minimax Optimality of Model-based Robust Reinforcement Learning Pierre Clavier E. L. Pennec M. Geist 17 12 0 10 Feb 2023
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 70 96 0 29 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 59 162 0 21 Jan 2021