Abstract Contextual bandit algorithms are significantly changing non-adaptive A/B exams in e-commerce, Health care, and policymaking since they can equally increase outcomes for study contributors and increase the chance of identifying great or maybe very best guidelines. To support credible inference on novel interventions at the end of the study,