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Convergence and Optimality of Policy Gradient Methods in Weakly Smooth
  Settings

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings

30 October 2021
Matthew Shunshi Zhang
Murat A. Erdogdu
Animesh Garg
ArXivPDFHTML

Papers citing "Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings"

2 / 2 papers shown
Title
On the Convergence and Sample Efficiency of Variance-Reduced Policy
  Gradient Method
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
Junyu Zhang
Chengzhuo Ni
Zheng Yu
Csaba Szepesvári
Mengdi Wang
44
67
0
17 Feb 2021
On the Sample Complexity of Actor-Critic Method for Reinforcement
  Learning with Function Approximation
On the Sample Complexity of Actor-Critic Method for Reinforcement Learning with Function Approximation
Harshat Kumar
Alec Koppel
Alejandro Ribeiro
99
79
0
18 Oct 2019
1