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Off-policy evaluation

Off-policy Evaluation (OPE), or offline evaluation in general, evaluates the performance of hypothetical policies leveraging only offline log data. It is particularly useful in applications where the online interaction involves high stakes and expensive setting such as precision medicine and recommender systems.

Papers

Showing 261265 of 265 papers

TitleStatusHype
Off-policy Confidence Sequences0
Off-policy estimation with adaptively collected data: the power of online learning0
Off-Policy Evaluation and Counterfactual Methods in Dynamic Auction Environments0
Off-Policy Evaluation and Learning for the Future under Non-Stationarity0
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy0
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