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20182023
most citedA Discrete-Time Switching System Analysis of Q-learning

14 citations · 22 across the 14 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

math.OC2021★ 1 cited

On the Semidefinite Duality of Finite-Horizon LQG Problem

Donghwan Lee

In this paper, our goal is to study fundamental foundations of linear quadratic Gaussian (LQG) control problems for stochastic linear time-invariant systems via Lagrangian duality…

math.OC2021★ 3 cited

Lossless Convexification and Duality

Donghwan Lee

The main goal of this paper is to investigate strong duality of non-convex semidefinite programming problems (SDPs). In the optimization community, it is well-known that a convex o…

math.OC2021

Convergence of Dynamic Programming on the Semidefinite Cone

Donghwan Lee

The goal of this paper is to investigate new and simple convergence analysis of dynamic programming for linear quadratic regulator problem of discrete-time linear time-invariant sy…

math.OC2021

Data-Driven Control Design with LMIs and Dynamic Programming

Donghwan Lee, Do Wan Kim

The goal of this paper is to develop data-driven control design and evaluation strategies based on linear matrix inequalities (LMIs) and dynamic programming. We consider determinis…

math.OC2021

Multi-Objective LQG Design with Primal-Dual Method

Donghwan Lee, Do Wan Kim

The goal of this paper is to study a multi-objective linear quadratic Gaussian (LQG) control problem. In particular, we consider an optimal control problem minimizing a quadratic c…

math.OC2021★ 14 cited

A Discrete-Time Switching System Analysis of Q-learning

Donghwan Lee, Jianghai Hu, Niao He

This paper develops a novel control-theoretic framework to analyze the non-asymptotic convergence of Q-learning. We show that the dynamics of asynchronous Q-learning with a constan…