{"product_id":"handbook-of-learning-and-approximate-dynamic-programming-hardback-9780471660545","title":"Handbook of Learning and Approximate Dynamic Programming (Hardback) 9780471660545","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eHandbook of Learning and Approximate Dynamic Programming\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eJennie Si (Edited by), J Si (Author), Andrew G. Barto (Edited by), Warren B. Powell (Edited by), Don Wunsch (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471660545, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 10 August 2004\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e672 pages, Drawings: 40 B\u0026amp;W, 0 Color; Tables: 40 B\u0026amp;W, 0 Color\u003cbr\u003e23.6 x 15.8 x 3.6 cm, 1.043 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"…highly recommended to researchers, graduate students, engineers, and scientists…\" (\u003ci\u003eE-STREAMS\u003c\/i\u003e, February 2006)  \u003cp\u003e\"Clearly, this book is useful for researchers who do or want to do research on ADP.\" (\u003ci\u003eIIE Transactions-Quality \u0026amp; Reliability Engineering\u003c\/i\u003e, February 2006)\u003c\/p\u003e \u003cp\u003e\"…I would like to congratulate the editors, for putting together this wonderful collection of research contributions.\" (\u003ci\u003eComputing Reviews.com\u003c\/i\u003e, March 18, 2005)\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cul\u003e \u003cli\u003eA complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code\u003c\/li\u003e \u003cli\u003eProvides a tutorial that readers can use to start implementing the learning algorithms provided in the book\u003c\/li\u003e \u003cli\u003eIncludes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented\u003c\/li\u003e \u003cli\u003eThe contributors are leading researchers in the field\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eForeword.  \u003cp\u003e1. ADP: goals, opportunities and principles.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Overview.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2. Reinforcement learning and its relationship to supervised learning.\u003c\/p\u003e \u003cp\u003e3. Model-based adaptive critic designs.\u003c\/p\u003e \u003cp\u003e4. Guidance in the use of adaptive critics for control.\u003c\/p\u003e \u003cp\u003e5. Direct neural dynamic programming.\u003c\/p\u003e \u003cp\u003e6. The linear programming approach to approximate dynamic programming.\u003c\/p\u003e \u003cp\u003e7. Reinforcement learning in large, high-dimensional state spaces.\u003c\/p\u003e \u003cp\u003e8. Hierarchical decision making.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Technical advances.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9. Improved temporal difference methods with linear function approximation.\u003c\/p\u003e \u003cp\u003e10. Approximate dynamic programming for high-dimensional resource allocation problems.\u003c\/p\u003e \u003cp\u003e11. Hierarchical approaches to concurrency, multiagency, and partial observability.\u003c\/p\u003e \u003cp\u003e12. Learning and optimization - from a system theoretic perspective.\u003c\/p\u003e \u003cp\u003e13. Robust reinforcement learning using integral-quadratic constraints.\u003c\/p\u003e \u003cp\u003e14. Supervised actor-critic reinforcement learning.\u003c\/p\u003e \u003cp\u003e15. BPTT and DAC - a common framework for comparison.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III: Applications.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e16. Near-optimal control via reinforcement learning.\u003c\/p\u003e \u003cp\u003e17. Multiobjective control problems by reinforcement learning.\u003c\/p\u003e \u003cp\u003e18. Adaptive critic based neural network for control-constrained agile missile.\u003c\/p\u003e \u003cp\u003e19. Applications of approximate dynamic programming in power systems control.\u003c\/p\u003e \u003cp\u003e20. Robust reinforcement learning for heating, ventilation, and air conditioning control of buildings.\u003c\/p\u003e \u003cp\u003e21. Helicopter flight control using direct neural dynamic programming.\u003c\/p\u003e \u003cp\u003e22. Toward dynamic stochastic optimal power flow.\u003c\/p\u003e \u003cp\u003e23. Control, optimization, security, and self-healing of benchmark power systems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Brand New","offer_id":52298025894168,"sku":"9780471660545","price":112.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471660545.jpg?v=1781731579","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/handbook-of-learning-and-approximate-dynamic-programming-hardback-9780471660545","provider":"Freshly Printed Books","version":"1.0","type":"link"}