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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.
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Submitted on : Thursday, October 19, 2006 - 3:48:07 PM
Last modification on : Saturday, June 25, 2022 - 7:40:34 PM


  • HAL Id : inria-00108104, version 1



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. ⟨inria-00108104⟩



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