Bandit Algorithms

·
· Cambridge University Press
E-kitap
538
Sayfa

Bu e-kitap hakkında

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.
Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochas...

Daha fazlasını keşfedin

Yazar hakkında

Tor Lattimore is a research scientist at DeepMind. His research is focused on decision making in the face of uncertainty, including bandit algorithms and reinforcement learning. Before joining DeepMind he was an assistant professor at Indiana University and a postdoctoral fellow at the University of Alberta.

Csaba Szepesvári is a Professor in the Department of Computing Science at the University of Alberta and a Principal Investigator of the Alberta Machine Intelligence Institute. He also leads the 'Foundations' team at DeepMind. He has co-authored a book on nonlinear approximate adaptive controllers and authored a book on reinforcement learning, in addition to publishing over 200 journal and conference papers. He is an action editor of the Journal of Machine Learning Research.

Tor Lattimore is a research scientist at DeepMind. His research is focused on decision making in the face of uncertainty, including bandit algorithms and reinforcement learning. Before joining DeepMind he was an assistant professor at Indiana University and a postdoctoral fellow at the University...

Bu e-kitaba puan verin

Düşüncelerinizi bizimle paylaşın.

Okuma bilgileri

Akıllı telefonlar ve tabletler
Android ve iPad/iPhone için Google Play Kitaplar uygulamasını yükleyin. Bu uygulama, hesabınızla otomatik olarak senkronize olur ve nerede olursanız olun çevrimiçi veya çevrimdışı olarak okumanıza olanak sağlar.
Dizüstü bilgisayarlar ve masaüstü bilgisayarlar
Bilgisayarınızın web tarayıcısını kullanarak Google Play'de satın alınan sesli kitapları dinleyebilirsiniz.
e-Okuyucular ve diğer cihazlar
Kobo eReader gibi e-mürekkep cihazlarında okumak için dosyayı indirip cihazınıza aktarmanız gerekir. Dosyaları desteklenen e-kitap okuyuculara aktarmak için lütfen ayrıntılı Yardım Merkezi talimatlarını uygulayın.
Uygunsuz olarak işaretle

Tor Lattimore adlı yazarın diğer kitapları

Algorithms for Reinforcement Learning
Csaba Szepesvári
Kitap 9•Bilgisayar ve Teknoloji
$31,50
Algorithms for Reinforcement Learning
Csaba Szepesvári
Bilgisayar ve Teknoloji
$10,50$9,14

Benzer e-kitaplar

Algorithms for Reinforcement Learning
Csaba Szepesvári
Kitap 9•Bilgisayar ve Teknoloji
$31,50
Technofeudalism: What Killed Capitalism
Yanis Varoufakis
İş ve Yatırım
4,6
$14,99
OPTIMIZATION METHODS FOR ENGINEERS
N.V.S. Raju
Mühendislik
4,4
$7,50
The Golden Ticket: P, NP, and the Search for the Impossible
Lance Fortnow
Bilgisayar ve Teknoloji
4,0
$21,95$13,17