15 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 15 cited
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
Pan Xu, Quanquan Gu
Q-learning with neural network function approximation (neural Q-learning for short) is among the most prevalent deep reinforcement learning algorithms. Despite its empirical succes…
stat.ML2016★ 4 cited
Communication-efficient Distributed Estimation and Inference for Transelliptical Graphical Models
Pan Xu, Lu Tian, Quanquan Gu
We propose communication-efficient distributed estimation and inference methods for the transelliptical graphical model, a semiparametric extension of the elliptical distribution i…