Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Author :
Publisher : Now Pub
Total Pages : 138
Release :
ISBN-10 : 1601986262
ISBN-13 : 9781601986269
Rating : 4/5 (269 Downloads)

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 and published by Now Pub. This book was released on 2012 with total page 138 pages. 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.


Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems Related Books

Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
Language: en
Pages: 138
Authors: Sébastien Bubeck
Categories: Computers
Type: BOOK - Published: 2012 - Publisher: Now Pub

GET EBOOK

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
Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems
Language: en
Pages: 137
Authors: Sébastien Bubeck
Categories: Artificial intelligence
Type: BOOK - Published: 2012 - Publisher:

GET EBOOK

Multi-armed bandit problems are the most basic examples of sequential decision problems with an exploration-exploitation trade-off. This is the balance between
Introduction to Multi-Armed Bandits
Language: en
Pages: 306
Authors: Aleksandrs Slivkins
Categories: Computers
Type: BOOK - Published: 2019-10-31 - Publisher:

GET EBOOK

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 boo
Algorithmic Learning Theory
Language: en
Pages: 410
Authors: Ricard Gavaldà
Categories: Computers
Type: BOOK - Published: 2009-09-29 - Publisher: Springer

GET EBOOK

This book constitutes the refereed proceedings of the 20th International Conference on Algorithmic Learning Theory, ALT 2009, held in Porto, Portugal, in Octobe
Bandit Algorithms
Language: en
Pages: 537
Authors: Tor Lattimore
Categories: Business & Economics
Type: BOOK - Published: 2020-07-16 - Publisher: Cambridge University Press

GET EBOOK

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.