93 citations · 225 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
New Versions of Gradient Temporal Difference Learning
Donghwan Lee, Han-Dong Lim, Jihoon Park +1
Sutton, Szepesvári and Maei introduced the first gradient temporal-difference (GTD) learning algorithms compatible with both linear function approximation and off-policy training.…
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…