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Continuous State Dynamic Programming Via Nonexpansive Approximation Author info | Abstract | Publisher info | Download info | Related research | Statistics John Stachurski () (Department of Economics, University of Melbourne)
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This paper studies fitted value iteration for continuous state dynamic programming using nonexpansive function approximators. A number of nonexpansive approximation schemes are discussed. The main contribution is to provide error bounds for approximate optimal policies generated by the value iteration algorithm.
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Paper provided by Kyoto University, Institute of Economic Research in its series KIER Working Papers with number
618.
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Length: 24pages
Date of creation: Apr 2006Date of revision:
Handle: RePEc:kyo:wpaper:618Contact details of provider: Postal: Yoshida-Honmachi, Sakyo-ku, Kyoto 606-8501 Phone: +81-75-753-7102 Fax: +81-75-753-7193 Email: Web page: http://www.kier.kyoto-u.ac.jp/eng/index.html More information through EDIRC
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