Extremal Shift Rule for Continuous-Time Zero-Sum Markov Games
Yurii Averboukh ()
Additional contact information
Yurii Averboukh: Krasovskii Institute of Mathematics and Mechanics UrB RAS
Dynamic Games and Applications, 2017, vol. 7, issue 1, No 1, 20 pages
Abstract:
Abstract In the paper we consider the controlled continuous-time Markov chain describing the interacting particles system with the finite number of types. The system is controlled by two players with the opposite purposes. This Markov game converges to a zero-sum differential game when the number of particles tends to infinity. Krasovskii–Subbotin extremal shift provides the optimal strategy in the limiting game. The main result of the paper is the near optimality of the Krasovskii–Subbotin extremal shift rule for the original Markov game.
Keywords: Continuous-time Markov games; Differential games; Extremal shift rule; Control with guide strategies; 91A15; 91A23; 91A05 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s13235-015-0173-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:dyngam:v:7:y:2017:i:1:d:10.1007_s13235-015-0173-z
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13235
DOI: 10.1007/s13235-015-0173-z
Access Statistics for this article
Dynamic Games and Applications is currently edited by Georges Zaccour
More articles in Dynamic Games and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().