Solving POMDPs using selected past events

Alain Dutech 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A new algorithm for solving Partially Observed Markov Decision Processes build on theoretical results about exhaustive observable. It aims at building an extension of the state space so as to obtain a Markov Decision Process which can then be solved by classical methods. We present two versions of the algorithm, one using reinforcement learning when the evolution model is unknown, the other is quicker but requires the knowledge of this evolution model.
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Communication dans un congrès
European Conference on Artificial Intelligence, 2000, Berlin, Germany, 2000
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https://hal.inria.fr/inria-00099378
Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 08:53:27
Dernière modification le : jeudi 11 janvier 2018 - 06:19:51

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  • HAL Id : inria-00099378, version 1

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Alain Dutech. Solving POMDPs using selected past events. European Conference on Artificial Intelligence, 2000, Berlin, Germany, 2000. 〈inria-00099378〉

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