DocumentCode
2695001
Title
A neurocontroller based on model feedback and the adaptive heuristic critic
Author
Jameson, John
fYear
1990
fDate
17-21 June 1990
Firstpage
37
Abstract
A neurocontroller is presented which seeks to minimize a reinforcement signal presented to the controller over time. The architecture is based on P.J. Werbos´s (1989) backpropagated critic and incorporates A.G. Barto and R.S. Sutton´s (1983) adaptive heuristic critic. Preliminary experiments performed with the cart-pole problem indicate that the method is faster, yet more unstable than a comparable method. The performance is significantly enhanced when a simple proportional control loop is used in conjunction with the neurocontroller
Keywords
adaptive control; controllers; feedback; heuristic programming; learning systems; neural nets; adaptive heuristic critic; backpropagated critic; cart-pole problem; model feedback; neurocontroller; performance; proportional control loop; reinforcement signal minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1990., 1990 IJCNN International Joint Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/IJCNN.1990.137692
Filename
5726651
Link To Document