Interac-DEC-MDP: Towards the use of interactions in DEC-MDP

Vincent Thomas 1 Christine Bourjot 1 Vincent Chevrier 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This article presents a new formalism Interac-DEC-MDP whose aim is to introduce the concept of interaction in Decentralized Markov Decision Process and which has been inspired by biology. The aim of this formalism, Interac-DEC-MDP, is to describe and represent interactions among agents. The outcome of interactions is decided collectively by two agents and is in charge of the distribution of local rewards. We have modeled a biological experiment within this formalism. A simple learning algorithm applied on this formalism generates a more efficient collective behavior than without interactions.
Type de document :
Communication dans un congrès
Third International Joint Conference on Autonomous Agents and Multi-Agent Systems - AAMAS'04, 2004, New York, USA, pp.1450-1451, 2004
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https://hal.inria.fr/inria-00108104
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Soumis le : jeudi 19 octobre 2006 - 15:48:07
Dernière modification le : jeudi 11 janvier 2018 - 06:19:50

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  • HAL Id : inria-00108104, version 1

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Vincent Thomas, Christine Bourjot, Vincent Chevrier. Interac-DEC-MDP: Towards the use of interactions in DEC-MDP. Third International Joint Conference on Autonomous Agents and Multi-Agent Systems - AAMAS'04, 2004, New York, USA, pp.1450-1451, 2004. 〈inria-00108104〉

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