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Off-Policy Fitted Q-Evaluation with Differentiable Function
  Approximators: Z-Estimation and Inference Theory

Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory

10 February 2022
Ruiqi Zhang
Xuezhou Zhang
Chengzhuo Ni
Mengdi Wang
    OffRL
ArXivPDFHTML

Papers citing "Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory"

5 / 5 papers shown
Title
Policy Finetuning in Reinforcement Learning via Design of Experiments
  using Offline Data
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data
Ruiqi Zhang
Andrea Zanette
OffRL
OnRL
40
7
0
10 Jul 2023
Offline Policy Evaluation and Optimization under Confounding
Offline Policy Evaluation and Optimization under Confounding
Chinmaya Kausik
Yangyi Lu
Kevin Tan
Maggie Makar
Yixin Wang
Ambuj Tewari
OffRL
18
8
0
29 Nov 2022
Offline Stochastic Shortest Path: Learning, Evaluation and Towards
  Optimality
Offline Stochastic Shortest Path: Learning, Evaluation and Towards Optimality
Ming Yin
Wenjing Chen
Mengdi Wang
Yu-Xiang Wang
OffRL
30
4
0
10 Jun 2022
Optimism in Reinforcement Learning with Generalized Linear Function
  Approximation
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang
Ruosong Wang
S. Du
A. Krishnamurthy
132
135
0
09 Dec 2019
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
38
181
0
22 Aug 2019
1