93 citations · 225 across the 20 of their papers we have counts for
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Relaxed Conditions for Parameterized Linear Matrix Inequality in the Form of Nested Fuzzy Summations
Do Wan Kim, Donghwan Lee
The aim of this study is to investigate less conservative conditions for parameterized linear matrix inequalities (PLMIs) that are formulated as nested fuzzy summations. Such PLMIs…
Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
Donghwan Lee, Han-Dong Lim, Do Wan Kim
The main goal of this paper is to investigate continuous-time distributed dynamic programming (DP) algorithms for networked multi-agent Markov decision problems (MAMDPs). In our st…
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach
Donghwan Lee
The objective of this paper is to investigate the finite-time analysis of a Q-learning algorithm applied to two-player zero-sum Markov games. Specifically, we establish a finite-ti…
Finite-Time Analysis of Temporal Difference Learning with Experience Replay
Han-Dong Lim, Donghwan Lee
Temporal-difference (TD) learning is widely regarded as one of the most popular algorithms in reinforcement learning (RL). Despite its widespread use, it has only been recently tha…
Backstepping Temporal Difference Learning
Han-Dong Lim, Donghwan Lee
Off-policy learning ability is an important feature of reinforcement learning (RL) for practical applications. However, even one of the most elementary RL algorithms, temporal-diff…