Quantile-Based Policy Optimization for Reinforcement Learning

Jinyang Jiang, Jiaqiao Hu, Yijie Peng

Classical reinforcement learning (RL) aims to optimize the expected cumulative rewards. In this work, we consider the RL setting where the goal is to optimize the quantile of the c…