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Evolutionary Robotics: Incremental Learning of Sequential Behavior

Nicolas Bredeche 1, 2 Louis Hugues 3
1 TANC - Algorithmic number theory for cryptology
Inria Saclay - Ile de France, LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]
Abstract : In the scope of this short paper, we demonstrate the advantage of several reformulations of a fitness function for a standard foraging task in Evolutionary Robotics.
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https://hal.inria.fr/inria-00175503
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Submitted on : Wednesday, November 5, 2008 - 6:45:35 PM
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Nicolas Bredeche, Louis Hugues. Evolutionary Robotics: Incremental Learning of Sequential Behavior. IEEE International Conference on Development and Learning, Jul 2005, Osaka, Japan. pp.137-138. ⟨inria-00175503v2⟩

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