论文标题
筛查传染病是随机控制中的问题
Screening for an Infectious Disease as a Problem in Stochastic Control
论文作者
论文摘要
最近，人们对筛查人群的传染病有很多兴趣。在这里，我们提出了一个随机控制模型，其中很难找到最佳的筛选政策，但是在其中汤普森采样以贝叶斯遗憾的形式获得了最佳性能保证。汤普森采样似乎特别适用于疾病，我们对此不太了解这种动态，例如超级公平的Covid-19。
There has been much recent interest in screening populations for an infectious disease. Here, we present a stochastic-control model, wherein the optimum screening policy is provably difficult to find, but wherein Thompson sampling has provably optimal performance guarantees in the form of Bayesian regret. Thompson sampling seems applicable especially to diseases, for which we do not understand the dynamics well, such as to the super-spreading COVID-19.
