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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
Laixi Shi
Gen Li
Yuting Wei
Yuxin Chen
M. Geist
Yuejie Chi
    OOD
ArXivPDFHTML

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
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
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
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces
Shyam Sundhar Ramesh
Pier Giuseppe Sessa
Yifan Hu
Andreas Krause
Ilija Bogunovic
OOD
18
10
0
05 Sep 2023
Settling the Sample Complexity of Online Reinforcement Learning
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
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
Wenhao Ding
Laixi Shi
Yuejie Chi
Ding Zhao
OOD
25
18
0
15 Jul 2023
First-order Policy Optimization for Robust Markov Decision Process
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
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
Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
Ke Sun
Yingnan Zhao
Shangling Jui
Linglong Kong
OOD
37
17
0
17 Sep 2021
Robust Reinforcement Learning on State Observations with Learned Optimal
  Adversary
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
Reward-Free Exploration for Reinforcement Learning
Chi Jin
A. Krishnamurthy
Max Simchowitz
Tiancheng Yu
OffRL
98
194
0
07 Feb 2020
Fine-Tuning Language Models from Human Preferences
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
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