Offline policy evaluation informs adaptive experiments by using historical A/B test data to assess adaptive policies via off-policy evaluation and warm-start simulation.
Read the original at arxiv.org→arXiv:2609.30273v1 Announce Type: new Abstract: We investigate how historical data from fixed randomized experiments (A/B tests) can be used to inform the deployment of adaptive experiments based on contextual...
Original headline: "Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments"
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- Sep 28, 04:00 UTC arXiv cs.LG lead source Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments