Evolving Genes to Balance a Pole [chapter]

Miguel Nicolau, Marc Schoenauer, Wolfgang Banzhaf
2010 Lecture Notes in Computer Science  
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.
doi:10.1007/978-3-642-12148-7_17 fatcat:nizuul4jkfcmbl2k322ea65ewe