DocumentCode
2414946
Title
Qualitative reinforcement learning control
Author
Franklin, Judy A.
Author_Institution
GTE Lab. Inc., Waltham, MA, USA
fYear
1992
fDate
1992
Firstpage
870
Abstract
An attempt is made to develop a reinforcement learning controller for a system described in more abstract or behavioral terms than those addressed by most controllers. The learning experiments center on the behavior of a ball rolling on a track. The evolution is from prediction to control of the behavior. An attempt is also made to evaluate the experiments in order to think about learning and experimentation at higher levels. The abstract description in the ball system considered is provided by a qualitative behavior of the system, given certain state information and given certain knowledge. The knowledge used is described, and the necessity of solving the problem is explained. The knowledge description is cast as part of a hierarchical controller, and generalizations to higher forms of learning are proposed
Keywords
adaptive control; hierarchical systems; learning systems; hierarchical controller; knowledge description; qualitative reinforcement learning control; rolling ball; Artificial neural networks; Control systems; Joining processes; Laboratories; Learning; Linear feedback control systems; Optimal control; Pi control; Proportional control; Robust stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
Conference_Location
Tucson, AZ
Print_ISBN
0-7803-0872-7
Type
conf
DOI
10.1109/CDC.1992.371601
Filename
371601
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