The Curious Price of Distributional Robustness in Reinforcement Learning
with a Generative Model

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

26 May 2023

Papers citing "The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model"

11 / 11 papers shown

Title
Near-Optimal Sample Complexity for Iterated CVaR Reinforcement Learning with a Generative Model Zilong Deng Simon Khan Shaofeng Zou 40 0 0 11 Mar 2025
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
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 23 10 0 05 Sep 2023
Settling the Sample Complexity of Online Reinforcement Learning Zihan Zhang Yuxin Chen Jason D. Lee S. Du OffRL 87 21 0 25 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
First-order Policy Optimization for Robust Markov Decision Process Yan Li Guanghui Lan Tuo Zhao 58 23 0 21 Sep 2022
Online Robust Reinforcement Learning with Model Uncertainty Yue Wang Shaofeng Zou OOD OffRL 65 96 0 29 Sep 2021
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations Ke Sun Yingnan Zhao Shangling Jui Linglong Kong OOD 40 17 0 17 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 52 161 0 21 Jan 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 273 1,561 0 18 Sep 2019