137 citations · 656 across the 54 of their papers we have counts for
Showing 2018 · math.OCShow all
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math.OC2018★ 8 cited
Stochastic Primal-Dual Q-Learning
Narim Jeong, Donghwan Lee, Niao He
In this work, we present a new model-free and off-policy reinforcement learning (RL) algorithm, that is capable of finding a near-optimal policy with state-action observations from…
math.OC2018★ 36 cited
On the Convergence Rate of Stochastic Mirror Descent for Nonsmooth Nonconvex Optimization
Siqi Zhang, Niao He
In this paper, we investigate the non-asymptotic stationary convergence behavior of Stochastic Mirror Descent (SMD) for nonconvex optimization. We focus on a general class of nonco…
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…