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Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning

Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning

19 February 2022
Nathan Kallus
Xiaojie Mao
Kaiwen Wang
Zhengyuan Zhou
    OOD
    OffRL
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Papers citing "Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning"

13 / 13 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
239
0
0
01 May 2025
Practical Performative Policy Learning with Strategic Agents
Practical Performative Policy Learning with Strategic Agents
Qianyi Chen
Ying Chen
Bo Li
115
0
0
02 Dec 2024
Isolated Causal Effects of Natural Language
Isolated Causal Effects of Natural Language
Victoria Lin
Louis-Philippe Morency
Eli Ben-Michael
CML
41
1
0
18 Oct 2024
The Central Role of the Loss Function in Reinforcement Learning
The Central Role of the Loss Function in Reinforcement Learning
Kaiwen Wang
Nathan Kallus
Wen Sun
OffRL
72
7
0
19 Sep 2024
Contextual Linear Optimization with Bandit Feedback
Contextual Linear Optimization with Bandit Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
42
0
0
26 May 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with
  General Function Approximation
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen
Xiangcheng Zhang
Siwei Wang
Longbo Huang
47
3
0
28 Feb 2024
Optimizing Language Models for Human Preferences is a Causal Inference
  Problem
Optimizing Language Models for Human Preferences is a Causal Inference Problem
Victoria Lin
Eli Ben-Michael
Louis-Philippe Morency
43
3
0
22 Feb 2024
A Semiparametric Instrumented Difference-in-Differences Approach to
  Policy Learning
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning
Pan Zhao
Yifan Cui
CML
36
1
0
14 Oct 2023
JoinGym: An Efficient Query Optimization Environment for Reinforcement
  Learning
JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning
Kaiwen Wang
Junxiong Wang
Yueying Li
Nathan Kallus
Immanuel Trummer
Wen Sun
GP
60
2
0
21 Jul 2023
Policy Learning under Biased Sample Selection
Policy Learning under Biased Sample Selection
Lihua Lei
Roshni Sahoo
Stefan Wager
38
13
0
23 Apr 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaML
OffRL
30
6
0
15 Mar 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Kaiwen Wang
Nathan Kallus
Wen Sun
112
18
0
07 Feb 2023
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
43
183
0
22 Aug 2019
1