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Bandit Algorithms Lattimore, Tor (University of Alberta)
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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
| Media | Bøker Innbunden bok (Bok med hard rygg og stivt omslag) |
| Utgitt | 16. juli 2020 |
| ISBN13 | 9781108486828 |
| Utgivere | Cambridge University Press |
| Antall sider | 536 |
| Mål | 253 × 181 × 35 mm · 1,09 kg |
| Språk | Engelsk |
