Verlag: Bradford Books (edition 2), 2018
ISBN 10: 0262039249 ISBN 13: 9780262039246
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 53,11
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In den WarenkorbHardcover. Zustand: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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In den WarenkorbZustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
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In den WarenkorbZustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
EUR 98,41
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In den WarenkorbZustand: New. Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.Andrew G. Barto is Professor Emeritus in the.
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 102,50
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In den WarenkorbBuch. Zustand: Neu. Neuware -The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 526 pp. Englisch.
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In den WarenkorbBuch. Zustand: Neu. Neuware - The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
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Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. 2018. second edition. Hardcover. . . . . . Books ship from the US and Ireland.
EUR 134,54
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 526 pages. 9.25x7.25x1.50 inches. In Stock.
EUR 178,46
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In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 526 pages. 9.25x7.25x1.50 inches. In Stock.