PaperReading20200229

CanChen ggchen@mail.ustc.edu.cn

This paper about CB contains too much new information for me so I spent almost two days reading it.

 

A Contextual Bandit Bake-off

  • Motivation: CB methods are very useful so this paper leverages the availability of large numbers of supervised learning datasets to empirically evaluate contextual bandit algorithms.
  • Method: This paper introduces Reg-CB, Greedy, Cover, Cover-NU, Bagging for exploration and IPS, IWR, DR for exploitation.
  • Contribution: Very useful for practitioners.
posted @ 2020-02-29 22:08  Klaus-Chen  阅读(86)  评论(0)  编辑  收藏  举报