Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu +4

We study risk-sensitive Reinforcement Learning (RL), where we aim to maximize the Conditional Value at Risk (CVaR) with a fixed risk tolerance $\tau$. Prior theoretical work studying…