PAC adaptive control of linear systems

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PAC adaptive control of linear systems

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Annual Workshop on Computational Learning Theory archive
Proceedings of the tenth annual conference on Computational learning theory table of contents

Nashville, Tennessee, United States

Pages: 72 - 80

Year of Publication: 1997

ISBN:0-89791-891-6

Author

Claude-Nicolas Fiechter

Department of Computer Science, University of Pittsburgh, Pittsburgh, PA

Sponsors

AT&T Labs :
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGART: ACM Special Interest Group on Artificial Intelligence
Vanderbilt University : Vanderbilt University

Publisher

ACM New York, NY, USA

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Arunabha Bagchi, Optimal Control of Stochastic Systems, Prentice-Hall, Inc., Upper Saddle River, NJ, 1993
	2	Dimitri P. Bertsekas, Dynamic Programming and Stochastic Control, Academic Press, Inc., Orlando, FL, 1976
	3	Sergio Bittanti , Alan J. Laub , Jan C. Willems, The Riccati equation, Springer-Verlag New York, Inc., New York, NY, 1991
	4	Claude-Nicolas Fiechter, Efficient reinforcement learning, Proceedings of the seventh annual conference on Computational learning theory, p.88-97, July 12-15, 1994, New Brunswick, New Jersey, United States [doi>10.1145/180139.181019]
	5	Claude-Nicolas Fiechter, Expected Mistake Bound Model for On-Line Reinforcement Learning, Proceedings of the Fourteenth International Conference on Machine Learning, p.116-124, July 08-12, 1997
	6	Graham C. Goodwin and Kwai Sang Sin. Adaptive Filtering Prediction and Control. Prentice-Hall, Englewood Cliffs, N.J., 1984.
	7	L. P. Kaelbling, M. L. Littman, and A. W. Moore. Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4:237-285, 1996.
	8	Edoardo Mosca, Optimal, predictive, and adaptive control, Prentice-Hall, Inc., Upper Saddle River, NJ, 1994
	9	L. G. Valiant, A theory of the learnable, Communications of the ACM, v.27 n.11, p.1134-1142, Nov. 1984 [doi>10.1145/1968.1972]
	10	C. Watkins. Learning From Delayed Rewards. PhD thesis, Cambridge University, Cambridge, MA, 1989.