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Application of Reinforcement Learning to Robot Soccer

Han Xue-dong

Year
2002
Citations
2

Abstract

Robot Soccer is an interesting and complex new area of artificial intelligence, and it is a typical multi-Agent system. This paper applies reinforcement learning to action selecting in robot soccer. And reinforcement learning method for multi-Agents is presented and extended. The experiment results are also shown.

Keywords

Reinforcement learningComputer scienceRobotArtificial intelligenceRobot learningLearning classifier systemReinforcementAction (physics)Soccer robotRobot control

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