2018, ISBN: 0262039249
[EAN: 9780262039246], Neubuch, [SC: 0.0], [PU: The MIT Press Nov 2018], ENGLISCHE BÜCHER / NATURWISSENSCHAFTEN; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; COMPUTERS INTELLIGENCE (AI) &… Mehr…
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2013, ISBN: 9780262039246
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2013, ISBN: 9780262039246
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2018, ISBN: 0262039249
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2018, ISBN: 0262039249
[EAN: 9780262039246], Neubuch, [SC: 0.0], [PU: The MIT Press Nov 2018], ENGLISCHE BÜCHER / NATURWISSENSCHAFTEN; INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; - AI; COMPUTERS INTELLIGENCE (AI) &… Mehr…
2013, ISBN: 9780262039246
[ED: Buch], [PU: The MIT Press], Neuware - The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in art… Mehr…
2013
ISBN: 9780262039246
[ED: Buch], [PU: The MIT Press], Neuware - The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in art… Mehr…
2013, ISBN: 9780262039246
[ED: Buch], [PU: The MIT Press], Neuware - The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in art… Mehr…
Reinforcement Learning An Introduction Adaptive Computation and Machine Learning series - gebunden oder broschiert
2018, ISBN: 0262039249
[EAN: 9780262039246], Neubuch, [PU: MIT Press], New Book. Shipped from UK. Established seller since 2000., Books
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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 for 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.
Detailangaben zum Buch - Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)
EAN (ISBN-13): 9780262039246
ISBN (ISBN-10): 0262039249
Gebundene Ausgabe
Erscheinungsjahr: 2018
Herausgeber: Bradford Books
Buch in der Datenbank seit 2018-06-03T12:59:00+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-04-20T12:36:58+02:00 (Berlin)
ISBN/EAN: 9780262039246
ISBN - alternative Schreibweisen:
0-262-03924-9, 978-0-262-03924-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: bach bargiel, francis, richard, andrew watson, sutton barto
Titel des Buches: reinforcement learning introduction, machine, lear, edition
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