93 citations · 225 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
Control Theoretic Analysis of Temporal Difference Learning
Donghwan Lee, Do Wan Kim
The goal of this manuscript is to conduct a controltheoretic analysis of Temporal Difference (TD) learning algorithms. TD-learning serves as a cornerstone in the realm of reinforce…
Inducing Functions through Reinforcement Learning without Task Specification
Junmo Cho, Dong-Hwan Lee, Young-Gyu Yoon
We report a bio-inspired framework for training a neural network through reinforcement learning to induce high level functions within the network. Based on the interpretation that…
Simulation Studies on Deep Reinforcement Learning for Building Control with Human Interaction
Donghwan Lee, Niao He, Seungjae Lee +2
The building sector consumes the largest energy in the world, and there have been considerable research interests in energy consumption and comfort management of buildings. Inspire…