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Evolving controllers for simulated car racing using object oriented genetic programming

Submitted by Jason Rutter on Sun, 16/09/2007 - 14:49.
Tags:
Publication Type  Conference Paper
Year of Publication  2007
Authors  Agapitos, A.; Togelius, J.; Lucas, S. M.
Conference Name  Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference
Pagination  1543-1550
Key Words  Evolutionary computer games; Evolutionary robotics; Genetic programming; Homologous uniform crossover; Neural networks; Object-oriented; Subtree macro-mutation
Abstract  

Several different controller representations are compared on anon-trivial problem in simulated car racing, with respect tolearning speed and final fitness. The controller representations arebased either on Neural Networks or Genetic Programming, and alsodiffer in regards to whether they allow for stateful controllers orjust reactive ones. Evolved GP trees are analysed, and attempts aremade at explaining the performance differences observed.
URL  http://julian.togelius.com/Agapitos2007Evolving.pdf

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