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Añadir al carritoTaschenbuch. Condición: Neu. Reinforcement Learning Algorithms: Analysis and Applications | Boris Belousov (u. a.) | Taschenbuch | viii | Englisch | 2022 | Springer | EAN 9783030411909 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.
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Añadir al carritoCondición: NEW. Roma: Campisano Editore, 2026 9791257460112 609 N vol.: 1, N pag.: 176, W: 22, Illustr.: COL, N illustr.: 100 In chiusura del Giubileo 2025 i Mercati di Traiano Museo dei Fori Imperiali ospitano una mostra collegata a questo straordinario evento e dedicata al secondo Giubileo della storia, quello del 1350. Fu un Giubileo particolare, celebrato durante la cosiddetta Cattività Avignonese, ossia quel lungo periodo compreso tra il 1309 e il 1377 in cui i papi, tutti francesi, risiedevano non a Roma ma ad Avignone. A perorare esplicitamente l'indizione del Giubileo per l'anno 1350 fu il Comune di Roma, che nel novembre 1342 invio ambasciatori all'appena eletto papa Clemente VI (1342-1352), chiedendogli inoltre di riportare la sede pontificia nell'Urbe. Il papa resto saldamente nella città sulle rive del Rodano ma con la bolla Unigenitus Dei Filius, emanata il 27 gennaio 1343, concesse il Giubileo. Tra i sostenitori piu illustri dell'indizione dell'anno giubilare spiccano figure come Cola di Rienzo (1313-1354) e Francesco Petrarca (1304-1374). Il primo poco dopo sarebbe diventato protagonista indiscusso della scena politica romana: fu Cola a comunicare al Senato e al Popolo Romano che il papa aveva indetto il Giubileo, inviando da Avi- gnone a Roma una lettera piena di entusiasmo e gioia. Il secondo, innamorato di Roma, fu piu volte presente in città: in Campidoglio, in un memorabile giorno dell'aprile 1341, Petrarca era stato laureato poeta dal Comune con una solenne cerimonia. Vi tornerà nel 1343 e poi proprio nel 1350, come pellegrino, in quello che lui stesso definì in una lettera a Giovanni Boccaccio il più felice fra i suoi soggiorni romani. In chiusura del Giubileo 2025 i Mercati di Traiano Museo dei Fori Imperiali ospitano una mostra collegata a questo straordinario evento e dedicata al secondo Giubileo della storia, quello del 1350. Fu un Giubileo particolare, celebrato durante la cosiddetta Cattività Avignonese, ossia quel lungo periodo compreso tra il 1309 e il 1377 in cui i papi, tutti francesi, risiedevano non a Roma ma ad Avignone. A perorare esplicitamente l'indizione del Giubileo per l'anno 1350 fu il Comune di Roma, che nel novembre 1342 invio ambasciatori all'appena eletto papa Clemente VI (1342-1352), chiedendogli inoltre di riportare la sede pontificia nell'Urbe. Il papa resto saldamente nella città sulle rive del Rodano ma con la bolla Unigenitus Dei Filius, emanata il 27 gennaio 1343, concesse il Giubileo. Tra i sostenitori piu illustri dell'indizione dell'anno giubilare spiccano figure come Cola di Rienzo (1313-1354) e Francesco Petrarca (1304-1374). Il primo poco dopo sarebbe diventato protagonista indiscusso della scena politica romana: fu Cola a comunicare al Senato e al Popolo Romano che il papa aveva indetto il Giubileo, inviando da Avi- gnone a Roma una lettera piena di entusiasmo e gioia. Il secondo, innamorato di Roma, fu piu volte presente in città: in Campidoglio, in un memorabile giorno dell'aprile 1341, Petrarca era stato laureato poeta dal Comune con una solenne cerimonia. Vi tornerà nel 1343 e poi proprio nel 1350, come pellegrino, in quello che lui stesso definì in una lettera a Giovanni Boccaccio il più felice fra i suoi soggiorni romani. Bernacchio, Nicoletta; Munzi, Massimiliano; Parisi Presicce, Claudio; Pastor, Simone.
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Añadir al carritopp. 175; ill. 100 a colori n.t.
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Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Jan 2021, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, Springer Nature Switzerland Jan 2022, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience. 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides recent research on reinforcement learning algorithms Presents the analysis and application alike Written by respected experts in the field Boris Belousov is a Ph.D. student at Technische.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavior.
Librería: Majestic Books, Hounslow, Reino Unido
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Añadir al carritoCondición: New. Print on Demand.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jan 2022, 2022
ISBN 10: 3030411907 ISBN 13: 9783030411909
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Palgrave Macmillan Jan 2021, 2021
ISBN 10: 3030411877 ISBN 13: 9783030411879
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 160,49
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications.The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt.The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.
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