Stochastic Recursive Momentum for Policy Gradient Methods

9 March 2020

Papers citing "Stochastic Recursive Momentum for Policy Gradient Methods"

9 / 9 papers shown

Title
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization Ling Liang Haizhao Yang 14 1 0 23 Jan 2024
Stochastic Dimension-reduced Second-order Methods for Policy Optimization Jinsong Liu Chen Xie Qinwen Deng Dongdong Ge Yi-Li Ye 32 1 0 28 Jan 2023
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu Kaipeng Zhang Tamer Basar W. Yin 48 102 0 15 Nov 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
ErrorCompensatedX: error compensation for variance reduced algorithms Hanlin Tang Yao Li Ji Liu Ming Yan 32 10 0 04 Aug 2021
A general sample complexity analysis of vanilla policy gradient Rui Yuan Robert Mansel Gower A. Lazaric 82 62 0 23 Jul 2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT Wanlu Lei Yu Ye Ming Xiao Mikael Skoglund Zhu Han 26 1 0 30 Jun 2021
On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction Jiawei Huang Nan Jiang 19 5 0 02 Jun 2021
Sample Efficient Reinforcement Learning with REINFORCE Junzi Zhang Jongho Kim Brendan O'Donoghue Stephen P. Boyd 42 101 0 22 Oct 2020