41 citations · 158 across the 21 of their papers we have counts for
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cs.LG2020★ 4 cited
The Efficacy of Regularization in Two-Layer Neural Networks
Gen Li, Yuantao Gu, Jie Ding
A crucial problem in neural networks is to select the most appropriate number of hidden neurons and obtain tight statistical risk bounds. In this work, we present a new perspective…
cs.LG2020★ 4 cited
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi +2
Asynchronous Q-learning aims to learn the optimal action-value function (or Q-function) of a Markov decision process (MDP), based on a single trajectory of Markovian samples induce…
cs.LG2020★ 29 cited
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li, Yuting Wei, Yuejie Chi +1
This paper is concerned with the sample efficiency of reinforcement learning, assuming access to a generative model (or simulator). We first consider -discounted infinite-horizo…