Department of Computer Science, University of Alberta, Edmonton, Alberta, Canada T6G 2E8; Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore, 119077; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, 08544
Junyu Zhang, Chengzhuo Ni, zheng Yu, Csaba Szepesvari, Mengdi Wang
Reinforcement Learning;Policy Gradient Method;Variance Reduction;Gradient Truncation
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method