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Handbook of Learning and Approximate Dynamic Programming
IEEE Press Series on Computational Intelligence
Editor: Jennie Si (Arizona State University (Tempe, AZ)); Editor: Andrew G. Barto (University of Massachusetts (Amherst, MA)); Editor: Warren Buckler Powell (Princeton University (NJ)); Editor: Don Wunsch (University of Missouri (Rolla, MO))
* A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code * Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book * Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented * The contributors are leading researchers in the field

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Cloth/WebSite Associated w/Book
Pages, 6-1/8 x 9-1/4 in.
 
Item #:
Price:
047166054X
$120.00

John Wiley & Sons, Inc.

 
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