Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning

15 May 2024

Papers citing "Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning"

7 / 7 papers shown

Title
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 73 1 0 22 Nov 2024
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise Shaan ul Haque S. Khodadadian S. T. Maguluri 29 11 0 31 Dec 2023
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning Sihan Zeng Thinh T. Doan J. Romberg 63 22 0 29 Sep 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 44 81 0 25 Aug 2020
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 85 145 0 04 May 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 114 1,190 0 16 Aug 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 570 0 08 Dec 2012