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Forventes på lager: 16-07-2020
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.
| Forlag | Cambridge University Press |
| Forfattere | Tor (University of Alberta) Lattimore, Csaba (University of Alberta) Szepesvari |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 16-07-2020 |
| Første udgivelsesår | 2020 |
| Illustrationer | Worked examples or Exercises |
| Originalsprog | United Kingdom |
| Sideantal | 536 |
| Indbinding | Hardback |
| Forlag | Cambridge University Press |
| Sideoplysninger | 536 pages, Worked examples or Exercises |
| Mål | 181 x 253 x 35 |
| ISBN-13 / EAN-13 | 9781108486828 |