Andere Kunden interessierten sich auch für
![An Introduction to Deep Reinforcement Learning]( "An Introduction to Deep Reinforcement Learning")
An Introduction to Deep Reinforcement Learning114,99 €![An Introduction to Wishart Matrix Moments]( "An Introduction to Wishart Matrix Moments")
An Introduction to Wishart Matrix Moments104,99 €![Explaining the Success of Nearest Neighbor Methods in Prediction]( "Explaining the Success of Nearest Neighbor Methods in Prediction")
Explaining the Success of Nearest Neighbor Methods in Prediction113,99 €![Elements of Sequential Monte Carlo]( "Elements of Sequential Monte Carlo")
Elements of Sequential Monte Carlo105,99 €![A Tutorial on Thompson Sampling]( "A Tutorial on Thompson Sampling")
A Tutorial on Thompson Sampling91,99 €![A Practical Approach for Machine Learning and Deep Learning Algorithms]( "A Practical Approach for Machine Learning and Deep Learning Algorithms")
A Practical Approach for Machine Learning and Deep Learning Algorithms21,99 €![Discrete Mathematics]( "Discrete Mathematics")
Discrete Mathematics69,99 €
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 monograph to provide a textbook like treatment of the subject. The work on multi-armed bandits can be partitioned into a dozen or so directions. Each chapter tackles one line of work, providing a self-contained introduction and pointers for further reading. Introduction to Multi-Armed Bandits concentrates on fundamental ideas and elementary, teachable proofs over the strongest possible results. It emphasizes accessibility of the material; while exposure to machine learning and probability/statistics would certainly help, a standard undergraduate course on algorithms should suffice for background. The first four chapters are devoted IID rewards with adversarial rewards being covered in the next 3 chapters. Contextual bandits are discussed in a separate chapter before the monograph concludes with connections to economics. Each chapter contains a section on bibliographic notes and further directions. Many of the chapters conclude with some exercises. Introduction to Multi-Armed Bandits provides an accessible treatment for students of a topic that has gained importance in the last decade. Lecturers can use it as a text for an introductory course on the subject.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.