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The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach.
Gregory
Kuhlmann, Peter Stone, and Justin Lallinger.
In Daniele
Nardi, Martin Riedmiller, and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes
in Artificial Intelligence, pp. 636–644, Springer Verlag, Berlin, 2005.
Official version from Publisher's
Webpage© Springer-Verlag
[PDF]112.7kB [postscript]287.8kB
The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on treating advice-giving as a machine learning problem. Competing against a field of mostly hand-coded coaches, the UT Austin Villa coach earned first place in the competition. In this paper, we present the multi-faceted learning strategy that our coach used and examine which aspects contributed most to the coach's success.
@Incollection(LNAI2004-coach,
author="Gregory Kuhlmann and Peter Stone and Justin Lallinger",
title="The {UT} {A}ustin {V}illa 2003 Champion Simulator Coach: A Machine Learning Approach",
booktitle= "{R}obo{C}up-2004: Robot Soccer World Cup {VIII}",
Editor="Daniele Nardi and Martin Riedmiller and Claude Sammut",
Publisher="Springer Verlag",address="Berlin",year="2005",
series="Lecture Notes in Artificial Intelligence",
volume="3276",
pages="636--644",
abstract={
The UT Austin Villa 2003 simulated online soccer
coach was a first time entry in the RoboCup Coach
Competition. In developing the coach, the main
research focus was placed on treating advice-giving
as a machine learning problem. Competing against a
field of mostly hand-coded coaches, the UT Austin
Villa coach earned first place in the competition.
In this paper, we present the multi-faceted learning
strategy that our coach used and examine which
aspects contributed most to the coach's success.
},
wwwnote = {Official version from <a href="http://www.springerlink.com/index/0KT87XUWFUY3HT4J">Publisher's Webpage</a>© Springer-Verlag},
)
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