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Minimax Weight and Q-Function Learning for Off-Policy Evaluation

Minimax Weight and Q-Function Learning for Off-Policy Evaluation

28 October 2019
Masatoshi Uehara
Jiawei Huang
Nan Jiang
    OffRL
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Papers citing "Minimax Weight and Q-Function Learning for Off-Policy Evaluation"

7 / 57 papers shown
Title
Batch Policy Learning in Average Reward Markov Decision Processes
Batch Policy Learning in Average Reward Markov Decision Processes
Peng Liao
Zhengling Qi
Runzhe Wan
P. Klasnja
S. Murphy
OffRL
34
81
0
23 Jul 2020
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation
  for Reinforcement Learning
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
Ming Yin
Yu Bai
Yu-Xiang Wang
OffRL
35
31
0
07 Jul 2020
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization
Nan Jiang
Jiawei Huang
OffRL
38
17
0
06 Feb 2020
Reinforcement Learning via Fenchel-Rockafellar Duality
Reinforcement Learning via Fenchel-Rockafellar Duality
Ofir Nachum
Bo Dai
OffRL
16
118
0
07 Jan 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement
  Learning
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning
Cameron Voloshin
Hoang Minh Le
Nan Jiang
Yisong Yue
OffRL
30
152
0
15 Nov 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with
  Double Reinforcement Learning
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning
Nathan Kallus
Masatoshi Uehara
OffRL
21
87
0
12 Sep 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
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