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Confidence Interval for Off-Policy Evaluation from Dependent Samples via
  Bandit Algorithm: Approach from Standardized Martingales

Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales

12 June 2020
Masahiro Kato
    OffRL
ArXivPDFHTML

Papers citing "Confidence Interval for Off-Policy Evaluation from Dependent Samples via Bandit Algorithm: Approach from Standardized Martingales"

1 / 1 papers shown
Title
More Efficient Off-Policy Evaluation through Regularized Targeted
  Learning
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurélien F. Bibaut
Ivana Malenica
N. Vlassis
Mark van der Laan
OOD
OffRL
27
40
0
13 Dec 2019
1