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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...
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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.
ukryj opis- Wydawnictwo: Cambridge University Press
- Kod:
- Rok wydania: 2020
- Język: Angielski
- Oprawa: Twarda
- Liczba stron: 536
- Szerokość opakowania: 25.3 cm
- Wysokość opakowania: 18.1 cm
- Głębokość opakowania: 3.5 cm
- Waga: 1.2 kg
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