Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach

Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian

Abstract: The REINFORCE algorithm \cite{williams1992simple} is popular in policy gradient (PG) for solving reinforcement learning (RL) problems. Meanwhile, the theoretical form of PG is from \cite{sutton1999...