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A survey of numerical solutions for stochastic control problems: Some recent progress

Zhuo Jin, Ming Qiu, Ky Q. Tran, George Yin

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a survey on some of the recent progress on numerical solutions for controlled switching diffusions. We begin by recalling the basics of switching diffusions and controlled switching diffusions. We then present regular controls and singular controls. The main objective of this paper is to provide a survey on some recent advances on Markov chain approximation methods for solving stochastic control problems numerically. A number of applications in insurance, mathematical biology, epidemiology, and economics are presented. Several numerical examples are provided for demonstration.
Original languageEnglish
Pages (from-to)213-253
Number of pages41
JournalNumerical Algebra, Control and Optimization
Volume12
Issue number2
DOIs
Publication statusPublished - Jun 2022

Keywords

  • Markov chain approximation
  • deep learning
  • singular control
  • harvesting
  • SIS model
  • debt management

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