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summary Contextual bandit algorithms are increasingly changing non-adaptive A/B assessments in e-commerce, healthcare, and policymaking given that they can each make improvements to outcomes for research individuals and increase the chance of identifying fantastic or simply ideal policies. To support credible inference on novel interventions at the