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.

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In RoboCup-2004: Robot Soccer World Cup VIII, Daniele Nardi and Martin Riedmiller and Claude Sammut (Eds.), Vol. 3276, pp. 636-644, Berlin 2005. Springer Verlag.

@Incollection{LNAI2004-coach, title={The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach}, author={Gregory Kuhlmann and Peter Stone and Justin Lallinger}, booktitle={RoboCup-2004: Robot Soccer World Cup VIII}, volume={3276}, editor={Daniele Nardi and Martin Riedmiller and Claude Sammut}, series={Lecture Notes in Artificial Intelligence}, address={Berlin}, publisher={Springer Verlag}, pages={636-644}, url="http://www.cs.utexas.edu/users/ai-lab?LNAI2004-coach", year={2005} }