Bandit-Based Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Jean-Baptiste Hoock and Olivier Teytaud",
  title =        "Bandit-Based Genetic Programming",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "268--277",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, MoGo",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_23",
  abstract =     "We consider the validation of randomly generated
                 patterns in a Monte-Carlo Tree Search program. Our
                 bandit-based genetic programming (BGP) algorithm, with
                 proved mathematical properties, outperformed a highly
                 optimized handcrafted module of a well-known
                 computer-Go program with several world records in the
                 game of Go.",
  notes =        "Bernstein Races, BGP

                 Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
                 held in conjunction with EvoCOP2010 EvoBIO2010 and

Genetic Programming entries for Jean-Baptiste Hoock Olivier Teytaud