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A Review of Off-Policy Evaluation in Reinforcement Learning

A Review of Off-Policy Evaluation in Reinforcement Learning

13 December 2022
Masatoshi Uehara
C. Shi
Nathan Kallus
    OffRL
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Papers citing "A Review of Off-Policy Evaluation in Reinforcement Learning"

15 / 15 papers shown
Title
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
Junkyu Lee
Tian Gao
Elliot Nelson
Miao Liu
D. Bhattacharjya
Songtao Lu
OffRL
45
0
0
30 Apr 2025
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
Brian Cho
Ana-Roxana Pop
Ariel Evince
Nathan Kallus
OffRL
37
0
0
17 Mar 2025
Statistical Inference in Reinforcement Learning: A Selective Survey
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
60
0
0
22 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models
Zero-shot Model-based Reinforcement Learning using Large Language Models
Abdelhakim Benechehab
Youssef Attia El Hili
Ambroise Odonnat
Oussama Zekri
Albert Thomas
Giuseppe Paolo
Maurizio Filippone
I. Redko
Balázs Kégl
OffRL
62
1
0
17 Feb 2025
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Marvel: Accelerating Safe Online Reinforcement Learning with Finetuned Offline Policy
Keru Chen
Honghao Wei
Zhigang Deng
Sen Lin
OffRL
OnRL
79
0
0
31 Dec 2024
Benchmarks for Reinforcement Learning with Biased Offline Data and
  Imperfect Simulators
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
Ori Linial
Guy Tennenholtz
Uri Shalit
OffRL
34
1
0
30 Jun 2024
Contextual Linear Optimization with Bandit Feedback
Contextual Linear Optimization with Bandit Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
29
0
0
26 May 2024
Spatially Randomized Designs Can Enhance Policy Evaluation
Spatially Randomized Designs Can Enhance Policy Evaluation
Ying Yang
Chengchun Shi
Fang Yao
Shouyang Wang
Hongtu Zhu
OffRL
31
0
0
18 Mar 2024
On Sample-Efficient Offline Reinforcement Learning: Data Diversity,
  Posterior Sampling, and Beyond
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling, and Beyond
Thanh Nguyen-Tang
Raman Arora
OffRL
15
3
0
06 Jan 2024
A Reinforcement Learning Framework for Dynamic Mediation Analysis
A Reinforcement Learning Framework for Dynamic Mediation Analysis
Linjuan Ge
Jitao Wang
C. Shi
Zhanghua Wu
Rui Song
19
5
0
31 Jan 2023
Beyond the Return: Off-policy Function Estimation under User-specified
  Error-measuring Distributions
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang
Nan Jiang
OffRL
25
9
0
27 Oct 2022
Offline Reinforcement Learning with Instrumental Variables in Confounded
  Markov Decision Processes
Offline Reinforcement Learning with Instrumental Variables in Confounded Markov Decision Processes
Zuyue Fu
Zhengling Qi
Zhaoran Wang
Zhuoran Yang
Yanxun Xu
Michael R. Kosorok
OffRL
33
15
0
18 Sep 2022
q-Learning in Continuous Time
q-Learning in Continuous Time
Yanwei Jia
X. Zhou
OffRL
30
67
0
02 Jul 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
329
1,944
0
04 May 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
31
180
0
22 Aug 2019
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