Description: Handbook of Learning and Approximate Dynamic Programming by Jennie Si, Andrew G. Barto, Warren B. Powell, Don Wunsch Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation codeProvides a tutorial that readers can use to start implementing the learning algorithms provided in the bookIncludes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implementedThe contributors are leading researchers in the field Author Biography JENNIE SI is Professor of Electrical Engineering, Arizona State University, Tempe, AZ. She is director of Intelligent Systems Laboratory, which focuses on analysis and design of learning and adaptive systems. In addition to her own publications, she is the Associate Editor for IEEE Transactions on Neural Networks, and past Associate Editor for IEEE Transactions on Automatic Control and IEEE Transactions on Semiconductor Manufacturing. She was the co-chair for the 2002 NSF Workshop on Learning and Approximate Dynamic Programming. ANDREW G. BARTO is Professor of Computer Science, University of Massachusetts, Amherst. He is co-director of the Autonomous Learning Laboratory, which carries out interdisciplinary research on machine learning and modeling of biological learning. He is a core faculty member of the Neuroscience and Behavior Program of the University of Massachusetts and was the co-chair for the 2002 NSF Workshop on Learning and Approximate Dynamic Programming. He currently serves as an associate editor of Neural Computation. WARREN B. POWELL is Professor of Operations Research and Financial Engineering at Princeton University. He is director of CASTLE Laboratory, which focuses on real-time optimization of complex dynamic systems arising in transportation and logistics. DONALD C. WUNSCH is the Mary K. Finley Missouri Distinguished Professor in the Electrical and Computer Engineering Department at the University of Missouri, Rolla. He heads the Applied Computational Intelligence Laboratory and also has a joint appointment in Computer Science, and is President-Elect of the International Neural Networks Society. Details ISBN 047166054X ISBN-13 9780471660545 Title Handbook of Learning and Approximate Dynamic Programming Author Jennie Si, Andrew G. Barto, Warren B. Powell, Don Wunsch Format Hardcover Year 2004 Pages 672 Edition 1st Publisher John Wiley & Sons Inc GE_Item_ID:33377275; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
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ISBN-13: 9780471660545
Book Title: Handbook of Learning and Approximate Dynamic Programming
Number of Pages: 672 Pages
Language: English
Publication Name: Handbook of Learning and Approximate Dynamic Programming
Publisher: Wiley & Sons, Incorporated, John
Publication Year: 2004
Subject: Functional Analysis, Electronics / General, Optimization
Item Height: 1.4 in
Item Weight: 36.6 Oz
Type: Textbook
Subject Area: Mathematics, Technology & Engineering
Author: Andrew G. Barto
Item Length: 9.3 in
Item Width: 6.2 in
Series: IEEE Press Series on Computational Intelligence Ser.
Format: Hardcover