Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms

Jinyang Jiang, Jiaqiao Hu, Yijie Peng

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