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The robotic soccer is one of the most complex multiagent systems in which agents play the role of soccer players. The characteristics of such systems are: realtime, noisy, collaborative and adversarial. Therefore, playing agents must be capable to making decisions. This paper describes the use of decision tree to kick and catch the ball for two simulated soccer agents. One player shoots towards the...
Robot learning is a growing area of research at the intersection of robotics and machine learning. The main contributions of this paper include a review of how machine learning has been used on Sony AIBO robots and at RoboCup, with a focus on the four-legged league during the years 1998-2004. The review shows that the application-oriented use of machine learning in the four-legged league was still...
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