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Off-policy evaluation

Reinforcement Learning (RL) › Off-policy evaluation 0 평가 기록 0 datasets

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.

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