Application of reinforcement learning to dextereous robot control

Proceedings of the American Control Conference

Volumn 3, Issue , 1998, Pages 1405-1409

  Bucak, Ihsan Omur ^a   Zohdy, Mohamed A ^a  

^a Oakland University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR POSITIONS; ARTIFICIAL MUSCLE; BINARY REINFORCEMENT; BINARY THRESHOLD; CONTROL ACTIONS; CONTROL PROBLEMS; REINFORCEMENT SIGNAL; SYSTEM NONLINEARITIES;

REINFORCEMENT LEARNING;

ROBOTS;

EID: 0008574692     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.1998.707055     Document Type: Conference Paper

References (8)

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2. Anderson, C. W., "Learning to Control an Inverted Pendulum Using Neural Networks", IEEE Control Systems magazine, pp 31-37, April 1989.
3. Hopfield, J. J., "Neural Nets and physical systems with emergent collective computational abilities", Proc. Natl. Acad. Sci. 79(1982).
4. Hirzinger, G., "Mechatronics for a new robot generation", IEEE/ASME Transactions on Mechatronics, Vol. 1, No.2, pp 150-157, June 1996.
5. Prokhorov, D. V., Wunsch, D. C, "Adaptive Critic Designs", IEEE Transactions on Neural Networks, Vol. 8, No. 5, pp. 997-1007, September 1997.
6. Barto, Sutton, and Anderson, "Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems", IEEE Trans. Syst., Man, Cybern., Vol. SMC-13, pp. 834-846, Sept.-Oct. 1983.
7. Industrial Intelligent Control Fundamentals and Applications, Lu, Yong-Zai, John Wiley & Sons, pp. 111-115, 1996.
8. Sutton, R. S., Barto, A. G., "Reinforcement Learning: An Introduction", MIT Press/Bradford Books, Cambridge MA, 1997 (Official publication date January 1998).