Multistrategy Learning Methods for Multirobot Systems

Author(s)
Endo, Yoichiro
Lee, Brian
MacKenzie, Douglas Christopher
Martinson, Eric
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Abstract
This article describes three different methods for introducing machine learning into a hybrid deliberative/reactive architecture for multirobot systems: learning momentum, Q-learning, and CBR wizards. A range of simulation experiments and results are reported using the Georgia Tech MissionLab mission specification system.
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Date
2003
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Text
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Paper
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