• DocumentCode
    1840643
  • Title

    Visual control in quake II with a cyclic controller

  • Author

    Parker, Matt ; Bryant, Bobby D.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Nevada, Reno, NV
  • fYear
    2008
  • fDate
    15-18 Dec. 2008
  • Firstpage
    151
  • Lastpage
    158
  • Abstract
    A cyclic controller is evolved in the first person shooter computer game Quake II, to learn to attack a randomly moving enemy in a simple room by using only visual inputs. The chromosome of a genetic algorithm represents a cyclical controller that reads grayscale information from the gameplay screen to determine how far to jump forward in the program and what actions to perform. The cyclic controller learns to effectively find and shoot the enemy, and outperforms our previously published neural network solution for the same problem.
  • Keywords
    computer games; genetic algorithms; neural nets; spatial variables control; Quake II; computer game; cyclic controller; genetic algorithm; neural network; visual control; Backpropagation; Cameras; Computational modeling; Computer science; Gray-scale; Humans; Navigation; Neural networks; Remotely operated vehicles; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-2973-8
  • Electronic_ISBN
    978-1-4244-2974-5
  • Type

    conf

  • DOI
    10.1109/CIG.2008.5035634
  • Filename
    5035634