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Mitigating Covariate Shift in Misspecified Regression with Applications
  to Reinforcement Learning

Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning

22 January 2024
P. Amortila
Tongyi Cao
Akshay Krishnamurthy
    OffRL
    OOD
ArXivPDFHTML

Papers citing "Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning"

5 / 5 papers shown
Title
Misspecified $Q$-Learning with Sparse Linear Function Approximation:
  Tight Bounds on Approximation Error
Misspecified QQQ-Learning with Sparse Linear Function Approximation: Tight Bounds on Approximation Error
Ally Yalei Du
Lin F. Yang
Ruosong Wang
37
0
0
18 Jul 2024
Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample
  Complexity Bound for Gaussian Random Fields
Toward L∞L_\inftyL∞​-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields
Kefan Dong
Tengyu Ma
35
4
0
29 Apr 2023
A new similarity measure for covariate shift with applications to
  nonparametric regression
A new similarity measure for covariate shift with applications to nonparametric regression
Reese Pathak
Cong Ma
Martin J. Wainwright
63
31
0
06 Feb 2022
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,955
0
04 May 2020
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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