Stochastic approximation for non-expansive maps : application to Q-learning algorithms

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

Bibliographic Details
Main Author: Abounadi, Jinane, 1966-
Other Authors: Dimitri P. Bersekas.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/10033
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author Abounadi, Jinane, 1966-
author2 Dimitri P. Bersekas.
author_facet Dimitri P. Bersekas.
Abounadi, Jinane, 1966-
author_sort Abounadi, Jinane, 1966-
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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spelling mit-1721.1/100332019-04-11T02:01:24Z Stochastic approximation for non-expansive maps : application to Q-learning algorithms Abounadi, Jinane, 1966- Dimitri P. Bersekas. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997. Includes bibliographical references (leaves 129-133). by Jinane Abounadi. Ph.D. 2005-08-18T23:48:33Z 2005-08-18T23:48:33Z 1997 1997 Thesis http://hdl.handle.net/1721.1/10033 39071888 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 133 leaves 7584114 bytes 7583872 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science
Abounadi, Jinane, 1966-
Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title_full Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title_fullStr Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title_full_unstemmed Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title_short Stochastic approximation for non-expansive maps : application to Q-learning algorithms
title_sort stochastic approximation for non expansive maps application to q learning algorithms
topic Electrical Engineering and Computer Science
url http://hdl.handle.net/1721.1/10033
work_keys_str_mv AT abounadijinane1966 stochasticapproximationfornonexpansivemapsapplicationtoqlearningalgorithms