The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{White:2015:GECCOcompa,
  author =       "David R. White and Shin Yoo and Jeremy Singer",
  title =        "The Programming Game: Evaluating MCTS as an
                 Alternative to GP for Symbolic Regression",
  booktitle =    "GECCO Companion '15: Proceedings of the Companion
                 Publication of the 2015 Annual Conference on Genetic
                 and Evolutionary Computation",
  year =         "2015",
  editor =       "Sara Silva and Anna I Esparcia-Alcazar and 
                 Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and 
                 Christine Zarges and Luis Correia and Terence Soule and 
                 Mario Giacobini and Ryan Urbanowicz and 
                 Youhei Akimoto and Tobias Glasmachers and 
                 Francisco {Fernandez de Vega} and Amy Hoover and Pedro Larranaga and 
                 Marta Soto and Carlos Cotta and Francisco B. Pereira and 
                 Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and 
                 Heike Trautmann and Jean-Baptiste Mouret and 
                 Sebastian Risi and Ernesto Costa and Oliver Schuetze and 
                 Krzysztof Krawiec and Alberto Moraglio and 
                 Julian F. Miller and Pawel Widera and Stefano Cagnoni and 
                 JJ Merelo and Emma Hart and Leonardo Trujillo and 
                 Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and 
                 Carola Doerr",
  isbn13 =       "978-1-4503-3488-4",
  keywords =     "genetic algorithms, genetic programming: Poster",
  pages =        "1521--1522",
  month =        "11-15 " # jul,
  organisation = "SIGEVO",
  address =      "Madrid, Spain",
  URL =          "http://doi.acm.org/10.1145/2739482.2764655",
  DOI =          "doi:10.1145/2739482.2764655",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We develop previous work by Cazenave applying Monte
                 Carlo Tree Search (MCTS) to programming. We compare
                 MCTS to Genetic Programming (GP) and find that MCTS is
                 competitive with GP for standard benchmarks.",
  notes =        "Also known as \cite{2764655} Distributed at
                 GECCO-2015.",
}

Genetic Programming entries for David Robert White Shin Yoo Jeremy Singer

Citations