14 citations · 22 across the 14 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2022
Regularized Q-learning
Han-Dong Lim, Donghwan Lee
Q-learning is widely used algorithm in reinforcement learning community. Under the lookup table setting, its convergence is well established. However, its behavior is known to be u…
cs.LG2019★ 3 cited
Target-Based Temporal Difference Learning
Donghwan Lee, Niao He
The use of target networks has been a popular and key component of recent deep Q-learning algorithms for reinforcement learning, yet little is known from the theory side. In this w…
cs.LG2018
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process
Hyung-Jin Yoon, Donghwan Lee, Naira Hovakimyan
The objective is to study an on-line Hidden Markov model (HMM) estimation-based Q-learning algorithm for partially observable Markov decision process (POMDP) on finite state and ac…