• DocumentCode
    3476677
  • Title

    Using a training camp with Genetic Programming to evolve Ms Pac-Man agents

  • Author

    Alhejali, Atif M. ; Lucas, Simon M.

  • Author_Institution
    Game Intell. Group, Univ. of Essex, Colchester, UK
  • fYear
    2011
  • fDate
    Aug. 31 2011-Sept. 3 2011
  • Firstpage
    118
  • Lastpage
    125
  • Abstract
    This paper investigates using a training camp in conjunction with Genetic Programming in the evolution of Ms Pac-Man playing agents. We measure the amount of effort, time and resources required to run the training camp successfully. The approach is compared with standard GP. The results indicate that better and more stable performance can be achieved using the training camp method at the expense of greater manual effort in the design of the training scenarios. However, in addition to the better results, the training camp also provides more detailed insight into the strengths and weaknesses of each controller.
  • Keywords
    computer games; genetic algorithms; learning (artificial intelligence); software agents; Ms pac-man agents; Ms pac-man playing agents; genetic programming; standard GP; training camp; Artificial intelligence; Computational intelligence; Conferences; Face; Games; Genetic programming; Training; Decomposition learning; Evolving Controllers; Genetic Programming; Pac-Man; Training camp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2011 IEEE Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4577-0010-1
  • Electronic_ISBN
    978-1-4577-0009-5
  • Type

    conf

  • DOI
    10.1109/CIG.2011.6031997
  • Filename
    6031997