MULTISTRATEGY LEARNING METHODS FOR MULTIROBOT SYSTEMS

摘要

This article describes three different methods for introducing machine learning into a hybrid deliberative/reactive architecture for multirobot syste'ms: learning momentum, Q-learning, and CBR wizards. A range of simulation experiments and results are reported using the Georgia Tech MissionLab mission specification system.