Using GP-Gammon: Using Genetic Programming to Evolve Backgammon Players

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Yaniv Azaria and Moshe Sipper",
  editor =       "Maarten Keijzer and Andrea Tettamanzi and 
                 Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
  title =        "Using GP-Gammon: Using Genetic Programming to Evolve
                 Backgammon Players",
  booktitle =    "Proceedings of the 8th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3447",
  year =         "2005",
  address =      "Lausanne, Switzerland",
  month =        "30 " # mar # " - 1 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-25436-6",
  pages =        "132--142",
  DOI =          "doi:10.1007/b107383",
  bibsource =    "DBLP,",
  abstract =     "We apply genetic programming to the evolution of
                 strategies for playing the game of backgammon. Pitted
                 in a 1000-game tournament against a standard benchmark
                 player---Pubeval---our best evolved program wins 58\%
                 of the games, the highest verifiable result to date.
                 Moreover, several other evolved programs attain win
                 percentages not far behind the champion, evidencing the
                 repeatability of our approach.",
  notes =        "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
                 conjunction with EvoCOP2005 and EvoWorkshops2005",

Genetic Programming entries for Yaniv Azaria Moshe Sipper