Bayesian nonparametric approaches for reinforcement learning in partially observable domains

Bayesian nonparametric approaches for reinforcement learning in partially observable domains

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012. === Cataloged from PDF version of thesis. === Includes bibliographical references (p. 149-163). === Making intelligent decisions from incomplete information is critical in many applica...

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Bibliographic Details
Main Author: Doshi-Velez, Finale
Other Authors: Nicholas Roy.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2012
Subjects:
Electrical Engineering and Computer Science.
Online Access:http://hdl.handle.net/1721.1/75631

Internet

http://hdl.handle.net/1721.1/75631

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