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Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning
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Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning

Sihan Zeng
Thinh T. Doan
Justin Romberg
ArXiv (abs)PDFHTML

Papers citing "Finite-Time Convergence Rates of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning"

3 / 3 papers shown
Title
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
Sihan Zeng
Thinh T. Doan
147
5
0
15 May 2024
A primal-dual perspective for distributed TD-learning
A primal-dual perspective for distributed TD-learning
Han-Dong Lim
Donghwan Lee
136
1
0
01 Oct 2023
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
Sihan Zeng
Thinh T. Doan
Justin Romberg
165
26
0
29 Sep 2021