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Towards a Life-Long Learning Soccer Agent
University of Freiburg.
University of Freiburg. (Foundations of Artificial Intelligence)
University of Freiburg. (Foundations of Artificial Intelligence)
2002 (English)In: In RoboCup 2002: Robot Soccer World Cup VI, 2002, Vol. 2752, 126-134 p.Conference paper (Refereed)
Abstract [en]

One problem in robotic soccer (and in robotics in general) is to adapt skills and the overall behavior to a changing environment and to hardware improvements. We applied hierarchical reinforcement learning in an SMDP framework learning on all levels simultaneously. As our experiments show, learning simultaneously on the skill level and on the skill selection level is advantageous since it allows for a smooth adaption to a changing environment. Furthermore, the skills we trained turn also out to be quite competitive when run on the real robotic players of the players of our CS Freiburg team.

Place, publisher, year, edition, pages
2002. Vol. 2752, 126-134 p.
National Category
URN: urn:nbn:se:liu:diva-72554OAI: diva2:459975
Artificial Intelligence & Integrated Computer Systems
Available from: 2011-11-28 Created: 2011-11-28 Last updated: 2011-12-01

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Kleiner, Alexander

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