Bandit Algorithms

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