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Learning Reinforcement Theory
Verlag: Random House
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Buch 8 von 14: Addison-Wesley Data & AnalyticsSprache: Englisch
Verlag: Addison-Wesley Professional (edition 1), 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Paperback. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Buch 8 von 14: Addison-Wesley Data & AnalyticsSprache: Englisch
Verlag: Addison-Wesley Professional (edition 1), 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Learning: Reinforcement Theory ( Random House Studies In Psychology)
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Learning: Reinforcement Theory ( Random House Studies In Psychology)
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Learning : Reinforcement Theory
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Reinforcement Learning for Algorithmic Trading: From Theory to Real-World Implementation (Advanced Topics in Quantitative Trading)
Buch 7 von 14: Advanced Topics in Quantitative TradingAnbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 30,11
EUR 13,85 Versand
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In den WarenkorbZustand: New. In.
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Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data & Analytics Series)
Buch 8 von 14: Addison-Wesley Data & AnalyticsSprache: Englisch
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 48,73
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 4 verfügbar
In den WarenkorbZustand: New. In.
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Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox (IEEE Press Series on Control Systems Theory and Applications)
Sprache: Englisch
Verlag: Wiley-IEEE Press (edition 1), 2022
ISBN 10: 111980857X ISBN 13: 9781119808572
Hardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 54,01
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In English.
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Reinforcement Learning: Theory and Python Implementation
Anbieter: Books From California, Simi Valley, CA, USA
Verkäuferbewertung 4 von 5 Sternen
hardcover. Zustand: Fine.
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Foundations of Deep Reinforcement Learning: Theory and Practice in Python
Buch 8 von 14: Addison-Wesley Data & AnalyticsSprache: Englisch
Verlag: Addison-Wesley Professional, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 64,37
EUR 14,45 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 379 pages. 9.00x7.00x0.50 inches. In Stock.
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Foundations of Deep Reinforcement Learning : Theory and Practice in Python
Buch 8 von 14: Addison-Wesley Data & AnalyticsSprache: Englisch
Verlag: Pearson Education Dez 2019, 2019
ISBN 10: 0135172381 ISBN 13: 9780135172384
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and PracticeDeep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achieved remarkable results on a range of problems, from single and multiplayer gamessuch as Go, Atari games, and DotA 2to robotics.
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Towards Fuzzy Learning Classifier Systems | Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847311352 ISBN 13: 9783847311355
Taschenbuch. Zustand: Neu. Towards Fuzzy Learning Classifier Systems | Theory and Application of the Reinforcement Learning, Fuzzy Logic and Learning Classifier Systems | Daniel Hládek (u. a.) | Taschenbuch | 124 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847311355 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 113,62
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation (Theory and Applications of Natural Language Processing)
Buch 2 von 16: Theory and Applications of Natural Language ProcessingAnbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 114,51
EUR 13,85 Versand
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In den WarenkorbZustand: New. In.
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Impact of Reinforcement on Learning of Secondary School Students | Theory and Practice
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3847319329 ISBN 13: 9783847319320
Taschenbuch. Zustand: Neu. Impact of Reinforcement on Learning of Secondary School Students | Theory and Practice | Hukam Dad (u. a.) | Taschenbuch | 196 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847319320 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Model-Based Reinforcement Learning: From Data to Continuous Actions with a Python-based Toolbox (IEEE Press Series on Control Systems Theory and Applications)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 114,68
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Taschenbuch. Zustand: Neu. Foundations of Deep Reinforcement Learning | Theory and Practice in Python | Laura Graesser (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Pearson Education | EAN 9780135172384 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Reinforcement Learning | Theory and Python Implementation | Zhiqing Xiao | Taschenbuch | xxii | Englisch | 2025 | Springer | EAN 9789811949357 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Reinforcement Learning : Theory and Python Implementation
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux.This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.
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Reinforcement Learning : Theory and Python Implementation
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. Codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux.This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.
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Reinforcement Learning for Adaptive Dialogue Systems: A Data-driven Methodology for Dialogue Management and Natural Language Generation (Theory and Applications of Natural Language Processing)
Buch 2 von 16: Theory and Applications of Natural Language ProcessingAnbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 150,82
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms (Intelligent Systems Reference Library)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 150,82
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Decision Making Under Uncertainty and Reinforcement Learning: Theory and Algorithms (Intelligent Systems Reference Library, 223)
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 150,82
EUR 13,85 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
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Deep Reinforcement Learning for Wireless Communica tions and Networking: Theory, Applications and Imp lementation
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 164,86
EUR 11,56 Versand
Versand von Vereinigtes Königreich nach USAAnzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 352 pages. 9.00x6.00x0.69 inches. In Stock.
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Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation
Anbieter: Kennys Bookstore, Olney, MD, USA
Verkäuferbewertung 5 von 5 Sternen
EUR 177,08
EUR 8,91 Versand
Versand innerhalb von USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. 2023. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.
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Deep Reinforcement Learning for Wireless Communications and Networking : Theory, Applications and Implementation
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Buch. Zustand: Neu. Neuware - Deep Reinforcement Learning for Wireless Communications and NetworkingComprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systemsDeep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking.Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design.Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as:\* Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning\* Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security\* Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association\* Network layer applications, covering traffic routing, network classification, and network slicingWith comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.
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Taschenbuch. Zustand: Neu. Decision Making Under Uncertainty and Reinforcement Learning | Theory and Algorithms | Christos Dimitrakakis (u. a.) | Taschenbuch | Intelligent Systems Reference Library | xiii | Englisch | 2023 | Springer | EAN 9783031108921 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Decision Making Under Uncertainty and Reinforcement Learning : Theory and Algorithms
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 3031108922 ISBN 13: 9783031108921
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent research in decision making under uncertainty, in particular reinforcement learning and learning with expert advice. The core elements of decision theory, Markov decision processes and reinforcement learning have not been previously collected in a concise volume. Our aim with this book was to provide a solid theoretical foundation with elementary proofs of the most important theorems in the field, all collected in one place, and not typically found in introductory textbooks. This book is addressed to graduate students that are interested in statistical decision making under uncertainty and the foundations of reinforcement learning.
