Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making Ting Li

A/B testing is critical for modern technological companies to evaluate the effectiveness of newly developed products against standard baselines. This paper studies optimal designs that aim to maximize the amount of information obtained from online experiments to estimate treatment effects accurately.