Evolving diverse Ms. Pac-Man playing agents using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Atif M. Alhejali and Simon M. Lucas",
  title =        "Evolving diverse {Ms. Pac-Man} playing agents using
                 genetic programming",
  booktitle =    "UK Workshop on Computational Intelligence (UKCI
  year =         "2010",
  month =        "8-10 " # sep,
  pages =        "1--6",
  abstract =     "This paper uses genetic programming (GP) to evolve a
                 variety of reactive agents for a simulated version of
                 the classic arcade game Ms. Pac-Man. A diverse set of
                 behaviours were evolved using the same GP setup in
                 three different versions of the game. The results show
                 that GP is able to evolve controllers that are
                 well-matched to the game used for evolution and, in
                 some cases, also generalise well to previously unseen
                 mazes. For comparison purposes, we also designed a
                 controller manually using the same function set as GP.
                 GP was able to significantly outperform this
                 hand-designed controller. The best evolved controllers
                 are competitive with the best reactive controllers
                 reported for this problem.",
  keywords =     "genetic algorithms, genetic programming, Ms PacMan
                 game, reactive agents, computer games, learning
                 (artificial intelligence), software agents",
  DOI =          "doi:10.1109/UKCI.2010.5625586",
  notes =        "Also known as \cite{5625586}",

Genetic Programming entries for Atif M Alhejali Simon M Lucas