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Towards an optimal scoring policy for simulated soccer agents

Jelle R. Kok, Remco de Boer, and Nikos Vlassis. Towards an optimal scoring policy for simulated soccer agents. Technical Report IAS-UVA-01-06, Informatics Institute, University of Amsterdam, 2001.

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Abstract

This paper describes the implementation of a scoring policy that was used by the agents of the UvA Trilearn 2001 soccer simulation team during the RoboCup-2001 robotic soccer world championship. In a given situation this policy enables agents to determine the best shooting point in the goal, together with an associated probability of scoring when the ball is shot to this point. It turns out that this probability depends both on the position and the angle of the ball with respect to the goal, and also the position of the goalkeeper relative to the striker. We describe the underlying statistical framework for computing these probabilities, show results, and briefly discuss possible extensions.

BibTeX Entry

@TechReport{Kok01ias06,
  author =       {Jelle R. Kok and Remco de Boer and Nikos Vlassis},
  title =        {Towards an optimal scoring policy for simulated
                  soccer agents},
  institution =  {Informatics Institute, University of Amsterdam},
  address =      {The Netherlands},
  year =         {2001},
  month =        oct,
  number =       {IAS-UVA-01-06},
  postscript =   {2001/Kok01ias06.ps.gz},
  pdf =          {2001/Kok01ias06.pdf},
  abstract =     {This paper describes the implementation of a scoring
                  policy that was used by the agents of the UvA
                  Trilearn 2001 soccer simulation team during the
                  RoboCup-2001 robotic soccer world championship. In a
                  given situation this policy enables agents to
                  determine the best shooting point in the goal,
                  together with an associated probability of scoring
                  when the ball is shot to this point. It turns out
                  that this probability depends both on the position
                  and the angle of the ball with respect to the goal,
                  and also the position of the goalkeeper relative to
                  the striker. We describe the underlying statistical
                  framework for computing these probabilities, show
                  results, and briefly discuss possible extensions.}
}

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