Mean-field risk sensitive control and zero-sum games for Markov chains

Salah Eddine Choutri, Boualem Djehiche

Research output: Contribution to journalArticlepeer-review

Abstract

We establish existence of controlled Markov chain of mean-field type with unbounded jump intensities by means of a fixed point argument using the Wasserstein distance. Furthermore, we suggest conditions for existence of an optimal control and a saddle-point for respectively a control problem and a zero-sum differential game associated with risk sensitive payoff functionals of mean-field type. The conditions are derived using a Markov chain entropic backward SDE approach.

Original languageEnglish (US)
Pages (from-to)1-39
Number of pages39
JournalBulletin des Sciences Mathematiques
Volume152
DOIs
StatePublished - May 2019

Keywords

  • Entropic backward SDE
  • Mean-field
  • Nonlinear Markov chain
  • Optimal control
  • Risk sensitive
  • Zero-sum game

ASJC Scopus subject areas

  • General Mathematics

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