Entropic Regularization in Hierarchical Games

Lina Mallozzi () and Panos M. Pardalos ()
Additional contact information
Lina Mallozzi: Università di Napoli Federico II
Panos M. Pardalos: Center for Applied Optimization, University of Florida

SN Operations Research Forum, 2022, vol. 3, issue 1, 1-14

Abstract: Abstract We study hierarchical games where the second stage consists of a finite noncooperative game. To ensure that the lower level problem admits solutions, its mixed extension is considered. By using the Shannon entropy, a regularization scheme for the two-stage game is introduced and some properties are presented, as the asymptotic subgame perfectness.

Keywords: Stackelberg solutions; Mixed strategy; Shannon entropy (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s43069-022-00130-2 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:snopef:v:3:y:2022:i:1:d:10.1007_s43069-022-00130-2

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43069

DOI: 10.1007/s43069-022-00130-2

Access Statistics for this article

SN Operations Research Forum is currently edited by Marco Lübbecke

More articles in SN Operations Research Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().