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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2020. gada 16. jūlijs |
| ISBN13 | 9781108486828 |
| Izdevēji | Cambridge University Press |
| Lapas | 536 |
| Izmēri | 253 × 181 × 35 mm · 1,17 kg |
| Valoda | Angļu |
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Skatīt visus Lattimore, Tor (University of Alberta) ( piem., Hardcover Book )