1 citations · 1 across the 13 of their papers we have counts for
Showing cs.AIShow all
3 papers · 1 filter
cs.AI2025
Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
Han-Dong Lim, Donghwan Lee
In this paper, we study the theoretical properties of the projected Bellman equation (PBE) and two algorithms to solve this equation: linear Q-learning and approximate value iterat…
cs.AI2024
A finite time analysis of distributed Q-learning
Han-Dong Lim, Donghwan Lee
Multi-agent reinforcement learning (MARL) has witnessed a remarkable surge in interest, fueled by the empirical success achieved in applications of single-agent reinforcement learn…
cs.AI2022
Finite-Time Analysis of Asynchronous Q-learning under Diminishing Step-Size from Control-Theoretic View
Han-Dong Lim, Donghwan Lee
Q-learning has long been one of the most popular reinforcement learning algorithms, and theoretical analysis of Q-learning has been an active research topic for decades. Although r…