  Uplift modeling aims to directly model the incremental impact of a treatment
on an individual response. In this work, we address the problem from a new
angle and reformulate it as a Markov Decision Process (MDP). We conducted
extensive experiments on both a synthetic dataset and real-world scenarios, and
showed that our method can achieve significant improvement over previous
methods.
