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Found 3 papers, 2 papers with code
Policy-Adaptive Estimator Selection for Off-Policy Evaluation
Although many estimators have been developed, there is no single estimator that dominates the others, because the estimators' accuracy can vary greatly depending on a given OPE task such as the evaluation policy, number of actions, and noise level.
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service
As proof of concept, we use our procedure to select the best estimator to evaluate coupon treatment policies on a real-world online content delivery service.
Evaluating the Robustness of Off-Policy Evaluation
Unfortunately, identifying a reliable estimator from results reported in research papers is often difficult because the current experimental procedure evaluates and compares the estimators' performance on a narrow set of hyperparameters and evaluation policies.
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