Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction

2 January 2024

Papers citing "Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction"

5 / 5 papers shown

Title
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence Carlo Alfano Rui Yuan Patrick Rebeschini 54 15 0 30 Jan 2023
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function Saeed Masiha Saber Salehkaleybar Niao He Negar Kiyavash Patrick Thiran 79 18 0 25 May 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation Matilde Gargiani Andrea Zanelli Andrea Martinelli Tyler H. Summers John Lygeros 33 14 0 01 Feb 2022
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method Junyu Zhang Chengzhuo Ni Zheng Yu Csaba Szepesvári Mengdi Wang 44 66 0 17 Feb 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 87 136 0 30 Jan 2021