Deep Learning of Continuous and Structured Policies for Aggregated Heterogeneous Treatment Effects
聚合异质性处理效应下连续与结构化政策的深度学习
As estimation of Heterogeneous Treatment Effect (HTE) is increasingly adopted across a wide range of scientific and industrial applications, the treatment action space can naturally expand, from a binary treatment variable to a structured treatment policy. This policy may include several policy factors such as a continuous treatment intensity variable, or discrete treatment assignments. From first principles, we derive the formulation for incorporating multiple treatment…