The UT austin villa 2003 champion simulator coach: a machine learning approach

  • Authors:
  • Gregory Kuhlmann;Peter Stone;Justin Lallinger

  • Affiliations:
  • Department of Computer Sciences, The University of Texas at Austin, Austin, Texas;Department of Computer Sciences, The University of Texas at Austin, Austin, Texas;Department of Computer Sciences, The University of Texas at Austin, Austin, Texas

  • Venue:
  • RoboCup 2004
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.