Evolving controllers for simulated car racing

Julian Togelius, Simon M. Lucas

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper describes the evolution of controllers for racing a simulated radio-controlled car around a track, modelled on a real physical track. Five different controller architectures were compared, based on neural networks, force fields and action sequences. The controllers use either egocentric (first person), Newtonian (third person) or no information about the state of the car (open-loop controller). The only controller that able to evolve good racing behaviour was based on a neural network acting on egocentric inputs.

    Original languageEnglish (US)
    Title of host publication2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
    Pages1906-1913
    Number of pages8
    StatePublished - 2005
    Event2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005 - Edinburgh, Scotland, United Kingdom
    Duration: Sep 2 2005Sep 5 2005

    Publication series

    Name2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings
    Volume2

    Other

    Other2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005
    CountryUnited Kingdom
    CityEdinburgh, Scotland
    Period9/2/059/5/05

    ASJC Scopus subject areas

    • Engineering(all)

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