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Offline Policy Evaluation as a decision support tool for designing Adaptive Experiments
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adaptive experimentationA/B testingcontextual banditspolicy evaluation
2609.30273
Builder Relevance
1h ago80%
Abstract
The paper explores the use of historical A/B test data to inform the design of adaptive experiments based on contextual bandits.
Reality Card
Core Claim
Adaptive, context-aware policies can outperform fixed allocations in the presence of meaningful heterogeneity in treatment effects.
Method / Result
The study shows that adaptive policies improve outcomes when heterogeneity is present, validated through synthetic trials and standard benchmarks.
Limitations
The main limitation is the reliance on historical data, which may not fully capture future contexts or changes in user behavior.
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