Variance Reduction Methods for Sublinear Reinforcement Learning
Artificial Intelligence
2020-06-30 v5 Machine Learning
Machine Learning
Abstract
There is a technical issue in the analysis that is not easily fixable. We, therefore, withdraw the submission. Sorry for the inconvenience.
Cite
@article{arxiv.1802.09184,
title = {Variance Reduction Methods for Sublinear Reinforcement Learning},
author = {Sham Kakade and Mengdi Wang and Lin F. Yang},
journal= {arXiv preprint arXiv:1802.09184},
year = {2020}
}
Comments
There is a technical issue in the analysis that is not easily fixable