A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications-Reference-Cited by-同舟云学术

A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

Published:2011-07-19 Issue:3 Volume:9 Page:336-352
ISSN:1672-6340
Container-title:Journal of Control Theory and Applications
language:en
Short-container-title:J. Control Theory Appl.

Author:

Powell Warren B.,Ma Jun

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Hardware and Architecture,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11768-011-0313-y.pdf

Reference87 articles.

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2. R. A. Howard. Dynamic Programming and Markov Process. Cambridge: MIT Press, 1960.

3. M. L. Puterman. Markov Decision Processes. New York: John Wiley & Sons, 1994.

4. D. P. Bertsekas. Dynamic Programming and Optimal Control — II. Belmont, MA: Athena Scientific, 2007.

5. F. L. Lewis, V. L. Syrmos. Optimal Control. Hoboken, NJ: Wiley-Interscience, 1995.

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