8 citations · 19 across the 7 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 6 cited
How Does an Approximate Model Help in Reinforcement Learning?
Fei Feng, Wotao Yin, Lin F. Yang
One of the key approaches to save samples in reinforcement learning (RL) is to use knowledge from an approximate model such as its simulator. However, how much does an approximate…
math.OC2019
Acceleration of SVRG and Katyusha X by Inexact Preconditioning
Yanli Liu, Fei Feng, Wotao Yin
Empirical risk minimization is an important class of optimization problems with many popular machine learning applications, and stochastic variance reduction methods are popular ch…