2022
Policy Learning for Optimal Individualized Dose Intervals
AISTATS 2022poster
We study the problem of learning individualized dose intervals using observational data. There are very few previous works for policy learning with continuous treatment, and all of them focused on recommending an optimal dose rather than an optimal dose interval. In this paper, we propose a new meth…