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Bandit Algorithms by Lattimore Tor (23 results)
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
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Add to baskethardcover. Condition: Very Good.
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BANDIT ALGORITHMS
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Condition: NEW.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Ł 48.37
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Ł 49.79
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Bandit Algorithms (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Hardcover. Condition: new. Hardcover. Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Ł 54.62
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Bandit Algorithms (Hardback or Cased Book)
Published by Cambridge University Press 9/10/2020, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Add to basketHardback or Cased Book. Condition: New. Bandit Algorithms 2.3. Book.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Add to baskethardcover. Condition: Neu. Neu Neuware, Importqualität, auf Lager.
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Add to basketCondition: New. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for gra.
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Bandit Algorithms
Published by Cambridge University Press CUP, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Hardcover. Condition: Brand New. 517 pages. 9.50x7.00x1.25 inches. In Stock.
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Bandit Algorithms (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Ł 55.08
Convert currencyŁ 37.23 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Bandit Algorithms (Hardcover)
Published by Cambridge University Press, Cambridge, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Ł 73.06
Convert currencyŁ 27.55 shipping from Australia to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes. Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for graduate students interested in exploring stochastic, adversarial and Bayesian frameworks. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Ł 48.38
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Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1220.
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Hardcover. Condition: Brand New. 517 pages. 9.50x7.00x1.25 inches. In Stock. This item is printed on demand.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Condition: New. Print on Demand.
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Bandit Algorithms
Published by Cambridge University Press, 2020
ISBN 10: 1108486827 ISBN 13: 9781108486828
Language: English
Ł 77.52
Convert currencyŁ 6.80 shipping from Germany to United KingdomQuantity: 4 available
Add to basketCondition: New. PRINT ON DEMAND.
