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Q-Learning in Simulated Robotic Soccer - Large State Spaces and Incomplete Information.

Karl Tuyls, Sam Maes, Bernard Manderick

Year
2002
Citations
3

Abstract

In this paper we show how Bayesian networks (BNs) can be used for modeling other agents in the environment. BNs are a compact representation of a joint probability distribution.

Keywords

Reinforcement learningComputer scienceRepresentation (politics)Artificial intelligenceBayesian networkMachine learningState (computer science)RobotComplete informationJoint probability distribution

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