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Conference Papers Year : 2010

Evolving Genes to Balance a Pole

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.
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Dates and versions

inria-00483681 , version 1 (16-05-2010)

Identifiers

  • HAL Id : inria-00483681 , version 1
  • ARXIV : 1005.2815

Cite

Miguel Nicolau, Marc Schoenauer, W. Banzhaf. Evolving Genes to Balance a Pole. European Conference on Genetic Programming, Apr 2010, Istanbul, Turkey. pp.196-207. ⟨inria-00483681⟩
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