Reinforcement Learning with Continuous Actions Under Unmeasured Confounding

Yuhan Li, Eugene Han, Yifan Hu +4

This paper addresses the challenge of offline policy learning in reinforcement learning with continuous action spaces when unmeasured confounders are present. While most existing r…