Quantile-Optimal Policy Learning under Unmeasured Confounding

Zhongren Chen, Siyu Chen, Zhengling Qi +2

We study quantile-optimal policy learning where the goal is to find a policy whose reward distribution has the largest $\hat{I}\pm$-quantile for some $\hat{I}\pm \in (0,1)$. We focus on the offlin…