Name: Bandit Algorithms
Price: 2458.00 TWD
Availability: InStock
Author: Lattimore, Tor ; Szepesvári, Csaba
ISBN: 9781108486828

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Type

Physical Book

Author

Csaba Szepesvári

Tor Lattimore

Publisher

Cambridge University Press

Language

English

Pages

536

Format

Hardcover

Dimensions

24.9 x 19.6 x 3.3 cm

Weight

1.04 kg.

ISBN13

9781108486828

Synopsis "Bandit Algorithms"

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.

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Bandit Algorithms - Lattimore, Tor ; Szepesvári, Csaba

Synopsis "Bandit Algorithms"

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