Chapter

RoboCup 2004: Robot Soccer World Cup VIII

Volume 3276 of the series Lecture Notes in Computer Science pp 636-644

The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach

  • Gregory KuhlmannAffiliated withCarnegie Mellon UniversityDepartment of Computer Sciences, The University of Texas at Austin
  • , Peter StoneAffiliated withCarnegie Mellon UniversityDepartment of Computer Sciences, The University of Texas at Austin
  • , Justin LallingerAffiliated withCarnegie Mellon UniversityDepartment of Computer Sciences, The University of Texas at Austin

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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.