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Cartes topographiques neuronales pour l'apprentissage par renforcement sur des problèmes de contrôle non-linéaire

Emmanuel Daucé 1 Alain Dutech 2
2 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present a neural architecture which combines a new reinforcement learning algorithm with a topographic encoding of the inputs as inspired by kernel-based methods. This architecture is able to learn to control non-linear systems defined on a continuous space. Some results on a task of reaching are also given.
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https://hal.inria.fr/inria-00494164
Contributor : Alain Dutech <>
Submitted on : Tuesday, June 22, 2010 - 11:15:24 AM
Last modification on : Wednesday, December 9, 2020 - 3:12:58 AM
Long-term archiving on: : Monday, October 22, 2012 - 2:40:37 PM

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Emmanuel Daucé, Alain Dutech. Cartes topographiques neuronales pour l'apprentissage par renforcement sur des problèmes de contrôle non-linéaire. 10e Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées, Oct 2010, Yamoussoukro, Côte d’Ivoire. pp.9 P. ⟨inria-00494164⟩

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