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Handbook of Learning and Approximate Dynamic Programming

By: (Edited by) Andrew G. Barto , (Edited by) Don Wunsch , (Edited by) Jennie Si , (Edited by) Warren B. Powell

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Ksh 28,450.00

Format: Hardback or Cased Book

ISBN-10: 047166054X

ISBN-13: 9780471660545

Series: IEEE Press Series on Computational Intelligence

Publisher: John Wiley & Sons Inc

Imprint: Wiley-IEEE Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Aug 10th, 2004

Print length: 672 Pages

Weight: 1,043 grams

Dimensions (height x width x thickness): 23.60 x 15.80 x 3.60 cms

Product Classification: Electronics & communications engineering
Computer science

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ADP or Approximate Dynamic Programming has gone by many different names including: reinforcement learning (RL), adaptive critics (AC), and neuro-dynamic programming (NDP). The dynamic programming approach to decision and control problems involving nonlinear dynamic systems provides the optimal solution in any stochastic or uncertain environment.

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