Estimates heterogeneous treatment effects using Causal Forest and DML with validation (BLP/GATES/CLAN/TOC) and policy learning (policytree). Use when user asks about CATE, who benefits, subgroup effects, personalization, targeting, treatment effect heterogeneity, or causal forest.
