Bandit Algorithms
1505 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
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.
Autor: | Lattimore, Tor (University of Alberta); Szepesvari, Csaba (University of Alberta) |
Nakladatel: | Cambridge University Press |
ISBN: | 9781108486828 |
Rok vydání: | 2020 |
Jazyk : | Angličtina |
Vazba: | Hardback |
Počet stran: | 536 |
Mohlo by se vám také líbit..
-
Being Young, Male and Saudi
Thompson, Mark
-
The Courts of the Deccan Sultanates
Flatt, Emma J. (University of North Carolina, Chapel Hill)
-
Africa since 1940
Cooper, Frederick
-
Art Patronage, Family, and Gender in...
Deprano, Maria
-
Creating the Nazi Marketplace
Wiesen, S. Jonathan (Southern Illinois University, Carbondale)
-
The Cambridge History of Japan
-
Civil Rights
Bowen, Robin T. (West Virginia University, Morgantown, USA)
-
Facing Barriers
Kraus, Vered (University of Haifa, Israel); Yonay, Yuval P. (University of Haifa, Israel)
-
The Unification of Germany
Gorman, Michael J.
-
The Moral Economy of the Countryside
Faith, Rosamond
-
Cambridge International AS Level His...
Browning, Pete; McConnell, Tony; Walsh-Atkins, Patrick
-
Iran\'s Reconstruction Jihad
Lob, Eric (Florida International University)
-
Ukraine and Russia
D'Anieri, Paul (University of California, Riverside)
-
Strangling the Axis
Richard Hammond
-
Singing to the Lyre in Renaissance I...
Wilson, Blake (Dickinson College, Pennsylvania)
-
Fighting the People\'s War
Fennell, Phillip; Letts, Penny; Wilson, Jonathan