50 citations · 72 across the 4 of their papers we have counts for
4 papers
Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation
Thinh T. Doan
Motivated by their broad applications in reinforcement learning, we study the linear two-time-scale stochastic approximation, an iterative method using two different step sizes for…
Finite-Time Performance of Distributed Two-Time-Scale Stochastic Approximation
Thinh T. Doan, Justin Romberg
Two-time-scale stochastic approximation is a popular iterative method for finding the solution of a system of two equations. Such methods have found broad applications in many area…
Finite-Time Analysis of Distributed TD(0) with Linear Function Approximation for Multi-Agent Reinforcement Learning
Thinh T. Doan, Siva Theja Maguluri, Justin Romberg
We study the policy evaluation problem in multi-agent reinforcement learning. In this problem, a group of agents works cooperatively to evaluate the value function for the global d…
On the geometric convergence rate of distributed economic dispatch/demand response in power networks
Thinh T. Doan, Alex Olshevsky
Motivated by potential applications in power systems, we study a problem of optimizing a sum of convex functions on dynamic networks of nodes when each function is known to…