Momentum-Based Policy Gradient Methods

13 July 2020

Papers citing "Momentum-Based Policy Gradient Methods"

8 / 8 papers shown

Title
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 122 15 0 09 Apr 2024
Efficiently Escaping Saddle Points for Non-Convex Policy Optimization Sadegh Khorasani Saber Salehkaleybar Negar Kiyavash Niao He Matthias Grossglauser 13 1 0 15 Nov 2023
Stochastic Dimension-reduced Second-order Methods for Policy Optimization Jinsong Liu Chen Xie Qinwen Deng Dongdong Ge Yi-Li Ye 13 1 0 28 Jan 2023
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods Yanli Liu K. Zhang Tamer Basar W. Yin 30 102 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
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis Ziyi Chen Yi Zhou Rongrong Chen Shaofeng Zou 13 24 0 08 Sep 2021
A general sample complexity analysis of vanilla policy gradient Rui Yuan Robert Mansel Gower A. Lazaric 69 62 0 23 Jul 2021
Sample Efficient Reinforcement Learning with REINFORCE Junzi Zhang Jongho Kim Brendan O'Donoghue Stephen P. Boyd 35 98 0 22 Oct 2020