Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems write by Sébastien Bubeck. This book was released on 2012. Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems available in PDF, EPUB and Kindle. In this monograph, the focus is on two extreme cases in which the analysis of regret is particularly simple and elegant: independent and identically distributed payoffs and adversarial payoffs. Besides the basic setting of finitely many actions, it analyzes some of the most important variants and extensions, such as the contextual bandit model.
Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems
Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems write by Sébastien Bubeck. This book was released on 2012. Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems available in PDF, EPUB and Kindle. Multi-armed bandit problems are the most basic examples of sequential decision problems with an exploration-exploitation trade-off. This is the balance between staying with the option that gave highest payoffs in the past and exploring new options that might give higher payoffs in the future. In this monograph, the focus is on two extreme cases in which the analysis of regret is particularly simple and elegant: independent and identically distributed payoffs and adversarial payoffs. Besides the basic setting of finitely many actions, it also analyzes some of the most important variants and extensions, such as the contextual bandit model.
Introduction to Multi-Armed Bandits
Introduction to Multi-Armed Bandits - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Multi-Armed Bandits write by Aleksandrs Slivkins. This book was released on 2019-10-31. Introduction to Multi-Armed Bandits available in PDF, EPUB and Kindle. Multi-armed bandits is a rich, multi-disciplinary area that has been studied since 1933, with a surge of activity in the past 10-15 years. This is the first book to provide a textbook like treatment of the subject.
Algorithmic Learning Theory
Algorithmic Learning Theory - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Algorithmic Learning Theory write by Ricard Gavaldà. This book was released on 2009-09-29. Algorithmic Learning Theory available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in October 2009, co-located with the 12th International Conference on Discovery Science, DS 2009. The 26 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 60 submissions. The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning. The volume also contains abstracts of the invited talks: Sanjoy Dasgupta, The Two Faces of Active Learning; Hector Geffner, Inference and Learning in Planning; Jiawei Han, Mining Heterogeneous; Information Networks By Exploring the Power of Links, Yishay Mansour, Learning and Domain Adaptation; Fernando C.N. Pereira, Learning on the Web.
Bandit Algorithms
Bandit Algorithms - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bandit Algorithms write by Tor Lattimore. This book was released on 2020-07-16. Bandit Algorithms available in PDF, EPUB and Kindle. A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
