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Coordinated Exploration in Conflicting Multi-stage Games

Identifieur interne : 001387 ( Main/Exploration ); précédent : 001386; suivant : 001388

Coordinated Exploration in Conflicting Multi-stage Games

Auteurs : Maarten Peeters [Belgique] ; Ville Könönen [Finlande] ; Katja Verbeeck [Belgique] ; Sven Van Segbroeck [Belgique] ; Ann Nowé [Belgique]

Source :

RBID : ISTEX:14865415E2586F226853198D7C23FA43D1F4EF1F

Abstract

Abstract: The analysis of the collective behavior of agents in a distributed multi-agent environment received a lot of attention in the past decade. More accurately, coordination was studied intensely because it enables agents to converge to Pareto optimal solutions and Nash equilibria. Most of these studies focussed on team games. In this paper we report on a technique for finding fair solutions in conflicting interest multi-stage games. Our hierarchical periodic policies algorithm is based on the characteristics of a homo egualis society in which the players also care about the proportional distribution of the pay-off in relation to the pay-off of the other players. This feature is built into a hierarchy of learning automata which is suited for playing sequential decision problems.

Url:
DOI: 10.1007/978-3-540-85565-1_49


Affiliations:


Links toward previous steps (curation, corpus...)


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