Mining Optimal Policies: A Pattern Recognition Approach to Model Analysis

Fernanda Bravo, Yaron Shaposhnik
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引用次数: 20

Abstract

This project spawned from an admission control problem we were working on for a major hospital in the Boston area. We tried to incorporate various aspects of the problem in a model, which resulted in a complex optimization problem that was difficult to solve analytically. Although numerical solutions could be computed, we were looking for insights to characterize simple policies that could be used in practice. We then came up with the idea of using machine learning to analyze solutions as a mean for obtaining such insights, an idea we thought could be interesting by itself. The motivating problem is an ongoing separate work.
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挖掘最优策略:一种用于模型分析的模式识别方法
这个项目源于我们为波士顿地区一家大型医院处理的入院控制问题。我们试图将问题的各个方面纳入一个模型中,这导致了一个难以解析求解的复杂优化问题。尽管可以计算数值解,但我们正在寻找可以在实践中使用的简单策略的特征。然后,我们提出了使用机器学习来分析解决方案的想法,作为获得这些见解的一种手段,我们认为这个想法本身可能很有趣。激励问题是一项正在进行的单独工作。
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