Overview
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.
- | By (Author): Tor (University Of Alberta) Lattimore
- | Publisher: Cambridge University Press
- | Publication Date: Jul 16, 2020
- | Country of Publication: United Kingdom
- | Number of Pages: 536 pages
- | Language: Unknown
- | Binding: Hardback
- | ISBN-10: 1108486827
- | ISBN-13: 9781108486828
