HyperNEAT-GGP: a hyperNEAT-based atari general game player

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Matthew Hausknecht and Piyush Khandelwal and 
                 Risto Miikkulainen and Peter Stone",
  title =        "HyperNEAT-GGP: a hyperNEAT-based atari general game
  booktitle =    "GECCO '12: Proceedings of the fourteenth international
                 conference on Genetic and evolutionary computation
  year =         "2012",
  editor =       "Terry Soule and Anne Auger and Jason Moore and 
                 David Pelta and Christine Solnon and Mike Preuss and 
                 Alan Dorin and Yew-Soon Ong and Christian Blum and 
                 Dario Landa Silva and Frank Neumann and Tina Yu and 
                 Aniko Ekart and Will Browne and Tim Kovacs and 
                 Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and 
                 Giovanni Squillero and Nicolas Bredeche and 
                 Stephen L. Smith and Alison Motsinger-Reif and Jose Lozano and 
                 Martin Pelikan and Silja Meyer-Nienberg and 
                 Christian Igel and Greg Hornby and Rene Doursat and 
                 Steve Gustafson and Gustavo Olague and Shin Yoo and 
                 John Clark and Gabriela Ochoa and Gisele Pappa and 
                 Fernando Lobo and Daniel Tauritz and Jurgen Branke and 
                 Kalyanmoy Deb",
  isbn13 =       "978-1-4503-1177-9",
  pages =        "217--224",
  keywords =     "genetic algorithms, genetic programming, digital
                 entertainment technologies and arts",
  month =        "7-11 " # jul,
  organisation = "SIGEVO",
  address =      "Philadelphia, Pennsylvania, USA",
  DOI =          "doi:10.1145/2330163.2330195",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "This paper considers the challenge of enabling agents
                 to learn with as little domain-specific knowledge as
                 possible. The main contribution is HyperNEAT-GGP, a
                 HyperNEAT-based General Game Playing approach to Atari
                 games. By leveraging the geometric regularities present
                 in the Atari game screen, HyperNEAT effectively evolves
                 policies for playing two different Atari games, Asterix
                 and Freeway. Results show that HyperNEAT-GGP
                 outperforms existing benchmarks on these games.
                 HyperNEAT-GGP represents a step towards the ambitious
                 goal of creating an agent capable of learning and
                 seamlessly transitioning between many different
  notes =        "Also known as \cite{2330195} GECCO-2012 A joint
                 meeting of the twenty first international conference on
                 genetic algorithms (ICGA-2012) and the seventeenth
                 annual genetic programming conference (GP-2012)",

Genetic Programming entries for Matthew Hausknecht Piyush Khandelwal Risto Miikkulainen Peter Stone