Daniil Ryabko (54 results)
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Condition: Used. pp. 304.
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer 9/27/2020, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Paperback or Softback. Condition: New. Universal Time-Series Forecasting with Mixture Predictors. Book.
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Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected . / Lecture Notes in Artificial Intelligence)
Girgin, Sertan [Editor]; Loth, Manuel [Editor]; Munos, R�©mi [Editor]; Preux, Philippe [Editor]; Ryabko, Daniil [Editor];
- Softcover
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- Softcover
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Condition: Used. pp. 304.
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer 2020-09-27, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer 2019-03, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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- Softcover
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Published by Springer, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Recent Advances in Reinforcement Learning : 8th European Workshop, EWRL 2008, Villeneuve D'ascq, France, June 30-July 3, 2008, Revised and Selected Papers
Girgin, Sertan (EDT); Loth, Manuel (EDT); Munos, Remi (EDT); Preux, Philippe (EDT); Ryabko, Daniil (EDT)
- Softcover
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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- Softcover
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Published by Springer, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer-Verlag New York Inc, 2019
Series: Book 290 of 322 - SpringerBriefs in Computer Science
- Softcover
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Paperback. Condition: Brand New. 88 pages. 9.25x6.10x0.35 inches. In Stock.
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Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Published by Springer-Nature New York Inc, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Softcover
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- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Inthesummerof2008,reinforcementlearningresearchersfromaroundtheworld gathered in the north of France for a week of talks and discussions on reinfor- ment learning, on how it could be made more e cient, applied to a broader range of applications, and utilized at more abstract and symbolic levels. As a participant in this 8th European Workshop on Reinforcement Learning, I was struck by both the quality and quantity of the presentations. There were four full days of short talks, over 50 in all, far more than there have been at any p- vious meeting on reinforcement learning in Europe, or indeed, anywhere else in the world. There was an air of excitement as substantial progress was reported in many areas including Computer Go, robotics, and tted methods. Overall, the work reported seemed to me to be an excellent, broad, and representative sample of cutting-edge reinforcement learning research. Some of the best of it is collected and published in this volume. The workshopandthe paperscollectedhere provideevidence thatthe eldof reinforcement learning remains vigorous and varied. It is appropriate to re ect on some of the reasons for this. One is that the eld remains focused on a pr- lem - sequential decision making - without prejudice as to solution methods. Another is the existence of a common terminology and body of theory.…
Language: English
Published by Springer, 2020
Series: Book 309 of 322 - SpringerBriefs in Computer Science
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The author considers the problem of sequential probability forecasting in the most general setting, where the observed data may exhibit an arbitrary form of stochastic dependence. All the results presented are theoretical, but they concern the foundations of some problems in such applied areas as machine learning, information theory and data compression.…
