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Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in
  Partially Observed Markov Decision Processes

Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes

28 October 2021
Andrew Bennett
Nathan Kallus
    OffRL
ArXivPDFHTML

Papers citing "Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes"

11 / 11 papers shown
Title
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
63
0
0
01 May 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
51
0
0
10 Jan 2025
Spectral Representation Learning for Conditional Moment Models
Spectral Representation Learning for Conditional Moment Models
Ziyu Wang
Yucen Luo
Yueru Li
Jun Zhu
Bernhard Schölkopf
CML
23
7
0
29 Oct 2022
Off-Policy Evaluation for Episodic Partially Observable Markov Decision
  Processes under Non-Parametric Models
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models
Rui Miao
Zhengling Qi
Xiaoke Zhang
OffRL
19
10
0
21 Sep 2022
Provably Efficient Reinforcement Learning in Partially Observable
  Dynamical Systems
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems
Masatoshi Uehara
Ayush Sekhari
Jason D. Lee
Nathan Kallus
Wen Sun
OffRL
47
31
0
24 Jun 2022
Pessimism in the Face of Confounders: Provably Efficient Offline
  Reinforcement Learning in Partially Observable Markov Decision Processes
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
Miao Lu
Yifei Min
Zhaoran Wang
Zhuoran Yang
OffRL
38
22
0
26 May 2022
Off-Policy Confidence Interval Estimation with Confounded Markov
  Decision Process
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process
C. Shi
Jin Zhu
Ye Shen
S. Luo
Hong Zhu
R. Song
OffRL
13
30
0
22 Feb 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
8
4
0
29 Nov 2021
Off-Policy Evaluation in Partially Observed Markov Decision Processes
  under Sequential Ignorability
Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability
Yupeng Tang
Seung-seob Lee
OffRL
39
22
0
24 Oct 2021
Proximal Causal Inference for Complex Longitudinal Studies
Proximal Causal Inference for Complex Longitudinal Studies
Andrew Ying
Wang Miao
Xu Shi
E. T. Tchetgen
21
38
0
15 Sep 2021
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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