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.

PDF, PS, HTML

In Daniele Nardi and Martin Riedmiller and Claude Sammut, editors, RoboCup-2004: Robot Soccer World Cup VIII, Lecture Notes in Artificial Intelligence, 3276, 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://nn.cs.utexas.edu/?LNAI2004-coach", year={2005} }