Simulator-mediated acquisition of a dynamic control skill

AI and Society 12 (1-2):71-77 (1998)

Abstract

Uses of stored skill-models to accelerate simulator-based real-time training in a control skill are discussed. A real-time coach must deliver advice at three levels: (1) what to do next, (2) what to watch for, and (3) what went wrong. Human learning and machine learning results are presented using different screen representations of a pole-and-cart balancing task

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