A Noise-Robust Elicit-to-Optimize Framework for Distortion Riskmetrics via Inverse Reinforcement Learning

Yang Liu, Yuhao Liu, Yunran Wei

The paper introduces a noise‑robust framework that combines inverse reinforcement learning to infer agents' risk preferences and reinforcement learning to optimize policies for a w…