HyperNEAT-GGP: a hyperNEAT-based Atari General Game Player
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Hausknecht:2012:GECCO,
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author = "Matthew Hausknecht and Piyush Khandelwal and
Risto Miikkulainen and Peter Stone",
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title = "{HyperNEAT-GGP: a hyperNEAT-based Atari} General Game
Player",
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booktitle = "GECCO '12: Proceedings of the fourteenth international
conference on Genetic and evolutionary computation
conference",
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year = "2012",
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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",
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pages = "217--224",
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month = "7-11 " # jul,
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organisation = "SIGEVO",
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address = "Philadelphia, Pennsylvania, USA",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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keywords = "genetic algorithms, genetic programming, digital
entertainment technologies and arts",
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isbn13 = "978-1-4503-1177-9",
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URL = "http://nn.cs.utexas.edu/downloads/papers/hausknecht.gecco12.pdf",
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DOI = "doi:10.1145/2330163.2330195",
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size = "8 pages",
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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
tasks.",
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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
Citations