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Conference Papers Year : 2004

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

Vincent Thomas
Christine Bourjot
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Vincent Chevrier


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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inria-00108104 , version 1 (19-10-2006)


  • 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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