EconPapers    
Economics at your fingertips  
 

On Finding Large Sets of Rewards in Two-Player ETP–ESP Games

Reinoud Joosten and Llea Samuel
Additional contact information
Reinoud Joosten: IEBIS, BMS, University of Twente, POB 217, 7500 AE Enschede, The Netherlands
Llea Samuel: Coöperatieve Rabobank U.A., Croeselaan 18, 3521 CB Utrecht, The Netherlands

International Game Theory Review (IGTR), 2020, vol. 22, issue 02, 1-27

Abstract: Games with endogenous transition probabilities and endogenous stage payoffs (or ETP–ESP games for short) are stochastic games in which both the transition probabilities and the payoffs at any stage are continuous functions of the relative frequencies of all past action combinations chosen.We present methods to compute large sets of jointly-convergent pure-strategy rewards in two-player ETP–ESP games with communicating states under the limiting average reward criterion. Such sets are useful in determining feasible rewards in a game, and instrumental in obtaining the set of (Nash) equilibrium rewards.

Keywords: Stochastic games; average rewards; endogenous transition probabilities and stage payoffs; (non)homogeneous Markov chains (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219198920400022
Access to full text is restricted to subscribers

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:wsi:igtrxx:v:22:y:2020:i:02:n:s0219198920400022

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219198920400022

Access Statistics for this article

International Game Theory Review (IGTR) is currently edited by David W K Yeung

More articles in International Game Theory Review (IGTR) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().

 
Page updated 2025-03-20
Handle: RePEc:wsi:igtrxx:v:22:y:2020:i:02:n:s0219198920400022