OTHER
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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