PDF/Textbook Dirichlet Bandit Problems Full Download

Dirichlet Bandit Problems

Author: Manas Kumar Chattopadhyay
Publisher:
ISBN:
Category :
Languages : en
Pages : 252

Book Description

Bandit problems

Author: Donald A. Berry
Publisher: Springer Science & Business Media
ISBN: 9401537119
Category : Science
Languages : en
Pages : 283

Book Description
Our purpose in writing this monograph is to give a comprehensive treatment of the subject. We define bandit problems and give the necessary foundations in Chapter 2. Many of the important results that have appeared in the literature are presented in later chapters; these are interspersed with new results. We give proofs unless they are very easy or the result is not used in the sequel. We have simplified a number of arguments so many of the proofs given tend to be conceptual rather than calculational. All results given have been incorporated into our style and notation. The exposition is aimed at a variety of types of readers. Bandit problems and the associated mathematical and technical issues are developed from first principles. Since we have tried to be comprehens ive the mathematical level is sometimes advanced; for example, we use measure-theoretic notions freely in Chapter 2. But the mathema tically uninitiated reader can easily sidestep such discussion when it occurs in Chapter 2 and elsewhere. We have tried to appeal to graduate students and professionals in engineering, biometry, econ omics, management science, and operations research, as well as those in mathematics and statistics. The monograph could serve as a reference for professionals or as a telA in a semester or year-long graduate level course.

Dirichlet's Problem

Author: George Emil Raynor
Publisher:
ISBN:
Category : Dirichlet problem
Languages : en
Pages : 26

Book Description

Multi-armed Bandit Problem and Application

Author: Djallel Bouneffouf
Publisher: Djallel Bouneffouf
ISBN:
Category : Computers
Languages : en
Pages : 234

Book Description
In recent years, the multi-armed bandit (MAB) framework has attracted a lot of attention in various applications, from recommender systems and information retrieval to healthcare and finance. This success is due to its stellar performance combined with attractive properties, such as learning from less feedback. The multiarmed bandit field is currently experiencing a renaissance, as novel problem settings and algorithms motivated by various practical applications are being introduced, building on top of the classical bandit problem. This book aims to provide a comprehensive review of top recent developments in multiple real-life applications of the multi-armed bandit. Specifically, we introduce a taxonomy of common MAB-based applications and summarize the state-of-the-art for each of those domains. Furthermore, we identify important current trends and provide new perspectives pertaining to the future of this burgeoning field.

Dirichlet Bandit Problems

Bandit problems

Dirichlet's Problem

Multi-armed Bandit Problem and Application

Dirichlet's Problem

The Dirichlet Problem

Current Issues in Statistical Inference

The Dirichlet Problem

Dirichlet Problem, Extremal Length, and Prime Ends

Dirichlet's Principle