1# Library to Find Best eBook for Read
Author : Tor Lattimore
Release : 2020-07-16
Genre : Business & Economics
Kind : eBook
Book Rating : 827/5 ( reviews)
Book Synopsis Bandit Algorithms by : Tor Lattimore
Download or read book Bandit Algorithms written by Tor Lattimore. This book was released on 2020-07-16. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Author : John Myles White
Release : 2012-12-10
Genre : Computers
Kind : eBook
Book Rating : 586/5 ( reviews)
Book Synopsis Bandit Algorithms for Website Optimization by : John Myles White
Download or read book Bandit Algorithms for Website Optimization written by John Myles White. This book was released on 2012-12-10. Available in PDF, EPUB and Kindle. Book excerpt: When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials
Author : Aleksandrs Slivkins
Release : 2019-10-31
Genre : Computers
Kind : eBook
Book Rating : 202/5 ( reviews)
Book Synopsis Introduction to Multi-Armed Bandits by : Aleksandrs Slivkins
Download or read book Introduction to Multi-Armed Bandits written by Aleksandrs Slivkins. This book was released on 2019-10-31. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Tor Lattimore
Release : 2020-07-16
Genre : Computers
Kind : eBook
Book Rating : 490/5 ( reviews)
Book Synopsis Bandit Algorithms by : Tor Lattimore
Download or read book Bandit Algorithms written by Tor Lattimore. This book was released on 2020-07-16. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Sébastien Bubeck
Release : 2012
Genre : Computers
Kind : eBook
Book Rating : 269/5 ( reviews)
Book Synopsis Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems by : Sébastien Bubeck
Download or read book Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems written by Sébastien Bubeck. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: 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.
