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Bandit Algorithms Lattimore, Tor (University of Alberta)
Bandit Algorithms
Lattimore, Tor (University of Alberta)
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.
536 pages, Worked examples or Exercises
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 16 de julio de 2020 |
| ISBN13 | 9781108486828 |
| Editores | Cambridge University Press |
| Páginas | 536 |
| Dimensiones | 253 × 181 × 35 mm · 1,17 kg |
| Lengua | Inglés |