Bandit Algorithms
Csaba (University of Alberta) Szepesvari, Tor (University of Alberta) Lattimore
Cambridge University Press, 2020
75,75 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9781108486828
- ISBN-10
- 1108486827
- Publisher
- Cambridge University Press
- Year
- 2020
- Publication date
- 2020-07-16
- Pages
- 536
- Dimensions
- 181x253x35
- Weight
- 1172