14 citations · 22 across the 14 of their papers we have counts for
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math.OC2018
Supplemental Material For "Primal-Dual Q-Learning Framework for LQR Design"
Donghwan Lee, Jianghai Hu
Recently, reinforcement learning (RL) is receiving more and more attentions due to its successful demonstrations outperforming human performance in certain challenging tasks. In ou…
math.OC2018
Dynamic Programming for POMDP with Jointly Discrete and Continuous State-Spaces
Donghwan Lee, Niao He, Jianghai Hu
In this work, we study dynamic programming (DP) algorithms for partially observable Markov decision processes with jointly continuous and discrete state-spaces. We consider a class…
math.OC2018
Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD
Donghwan Lee, Hyungjin Yoon, Naira Hovakimyan
The goal of this paper is to study a distributed version of the gradient temporal-difference (GTD) learning algorithm for multi-agent Markov decision processes (MDPs). The temporal…