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summary Contextual bandit algorithms are increasingly changing non-adaptive A/B checks in e-commerce, Health care, and policymaking mainly because they can both equally improve outcomes for research contributors and increase the chance of determining very good or perhaps ideal insurance policies. To support credible inference on novel interventions