Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework
强化学习框架下A/B测试的动态因果效应评估
A/B testing, or online experiment is a standard business strategy to compare a new product with an old one in pharmaceutical, technological, and traditional industries. Major challenges arise in online experiments of two-sided marketplace platforms (e.g., Uber) where there is only one unit that receives a sequence of treatments over time. In those experiments, the treatment at a given time impacts current outcome as well as future outcomes. The aim of this article is to…