A Finite Sample Complexity Bound for Distributionally Robust Q-learning

A Finite Sample Complexity Bound for Distributionally Robust Q-learning

26 February 2023

Jose H. Blanchet

Papers citing "A Finite Sample Complexity Bound for Distributionally Robust Q-learning"

19 / 19 papers shown

Title
Efficient Learning for Entropy-Regularized Markov Decision Processes via Multilevel Monte Carlo Matthieu Meunier C. Reisinger Yufei Zhang 34 0 0 27 Mar 2025
Planning and Learning in Average Risk-aware MDPs Weikai Wang Erick Delage 48 0 0 22 Mar 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li Sushrut Karmalkar Ilias Diakonikolas Jelena Diakonikolas OOD 47 0 0 11 Nov 2024
Robust Q-Learning for finite ambiguity sets Cécile Decker Julian Sester 21 0 0 05 Jul 2024
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis Yudan Wang Shaofeng Zou Yue Wang OOD 18 1 0 24 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
Continuous-time Risk-sensitive Reinforcement Learning via Quadratic Variation Penalty Yanwei Jia 31 2 0 19 Apr 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 68 4 0 04 Apr 2024
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes He Wang Laixi Shi Yuejie Chi OffRL 29 6 0 19 Mar 2024
On the Foundation of Distributionally Robust Reinforcement Learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OffRL 24 16 0 15 Nov 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 31 10 0 05 Sep 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
Sample Complexity of Variance-reduced Distributionally Robust Q-learning Shengbo Wang Nian Si Jose H. Blanchet Zhengyuan Zhou OOD 13 12 0 28 May 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 23 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
Robust Markov Decision Processes without Model Estimation Wenhao Yang Hanfengzhai Wang Tadashi Kozuno S. Jordan Zhihua Zhang 8 2 0 02 Feb 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders David Bruns-Smith Angela Zhou OffRL 13 9 0 01 Feb 2023
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 216 809 0 13 Nov 2016