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

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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
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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
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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
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Authors: Ricard Gavaldà
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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
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Type: BOOK - Published: 2020-07-16 - Publisher: Cambridge University Press

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