CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : We discuss how to use a Genetic Regulatory Network as an evolutionary representation to solve a typical GP reinforcement problem, the pole balancing. The network is a modified version of an Artificial Regulatory Network proposed a few years ago, and the task could be solved only by finding a proper way of connecting inputs and outputs to the network. We show that the representation is able to generalize well over the problem domain, and discuss the performance of different models of this kind.
https://hal.inria.fr/inria-00483681
Contributeur : Marc Schoenauer
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Soumis le : dimanche 16 mai 2010 - 14:23:13
Dernière modification le : jeudi 5 avril 2018 - 12:30:12
Document(s) archivé(s) le : jeudi 16 septembre 2010 - 14:06:50
Miguel Nicolau, Marc Schoenauer, W. Banzhaf. Evolving Genes to Balance a Pole. A.I. Esparcia-Alcazar et al. European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey. Springer Verlag, 6021, pp.196-207, 2010, LNCS. 〈inria-00483681〉
