Nicht aus der Schweiz? Besuchen Sie lehmanns.de

Multi-armed Bandit Allocation Indices (eBook)

eBook Download: EPUB
2011 | 2. Auflage
312 Seiten
John Wiley & Sons (Verlag)
978-1-119-99021-5 (ISBN)

Lese- und Medienproben

Multi-armed Bandit Allocation Indices - John Gittins, Kevin Glazebrook, Richard Weber
Systemvoraussetzungen
94,99 inkl. MwSt
(CHF 92,80)
Der eBook-Verkauf erfolgt durch die Lehmanns Media GmbH (Berlin) zum Preis in Euro inkl. MwSt.
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
In 1989 the first edition of this book set out Gittins' pioneering
index solution to the multi-armed bandit problem and his subsequent
investigation of a wide of sequential resource allocation and
stochastic scheduling problems. Since then there has been a
remarkable flowering of new insights, generalizations and
applications, to which Glazebrook and Weber have made major
contributions.

This second edition brings the story up to date. There are new
chapters on the achievable region approach to stochastic
optimization problems, the construction of performance bounds for
suboptimal policies, Whittle's restless bandits, and the use of
Lagrangian relaxation in the construction and evaluation of index
policies. Some of the many varied proofs of the index theorem are
discussed along with the insights that they provide. Many
contemporary applications are surveyed, and over 150 new references
are included.

Over the past 40 years the Gittins index has helped
theoreticians and practitioners to address a huge variety of
problems within chemometrics, economics, engineering, numerical
analysis, operational research, probability, statistics and website
design. This new edition will be an important resource for others
wishing to use this approach.

John Gittins, Statistics Department, University of Oxford, UK Kevin Glazebrook, Department of Management Science, Lancaster University, UK Richard Weber, Statistical Laboratory, University of Cambridge, UK

Foreword.

Foreword to the first edition.

Preface.

Preface to the first edition.

1 Introduction or Exploration.

Exercises.

2 Main Ideas: Gittins Index.

2.1 Introduction.

2.2 Decision processes.

2.3 Simple families of alternative bandit processes.

2.4 Dynamic programming.

2.5 Gittins index theorem.

2.6 Gittins index.

2.7 Proof of the index theorem by interchanging bandit
portions.

2.8 Continuous-time bandit processes.

2.9 Proof of the index theorem by induction and interchange
argument.

2.10 Calculation of Gittins indices.

2.11 Monotonicity conditions.

2.12 History of the index theorem.

2.13 Some decision process theory.

Exercises.

3 Necessary Assumptions for Indices.

3.1 Introduction.

3.2 Jobs.

3.3 Continuous-time jobs.

3.4 Necessary assumptions.

3.5 Beyond the necessary assumptions.

Exercises.

4 Superprocesses, Precedence Constraints and
Arrivals.

4.1 Introduction.

4.2 Bandit superprocesses.

4.3 The index theorem for superprocesses.

4.4 Stoppable bandit processes.

4.5 Proof of the index theorem by freezing and promotion
rules.

4.6 The index theorem for jobs with precedence constraints.

4.7 Precedence constraints forming an out-forest.

4.8 Bandit processes with arrivals.

4.9 Tax problems.

4.10 Near optimality of nearly index policies.

Exercises.

5 The Achievable Region Methodology.

5.1 Introduction.

5.2 A simple example.

5.3 Proof of the index theorem by greedy algorithm.

5.4 Generalized conservation laws and indexable systems.

5.5 Performance bounds for policies for branching bandits.

5.6 Job selection and scheduling problems.

5.7 Multi-armed bandits on parallel machines.

Exercises.

6 Restless Bandits and Lagrangian Relaxation.

6.1 Introduction.

6.2 Restless bandits.

6.3 Whittle indices for restless bandits.

6.4 Asymptotic optimality.

6.5 Monotone policies and simple proofs of indexability.

6.6 Applications to multi-class queuing systems.

6.7 Performance bounds for the Whittle index policy.

6.8 Indices for more general resource configurations.

Exercises.

7 Multi-Population Random Sampling (Theory).

7.1 Introduction.

7.2 Jobs and targets.

7.3 Use of monotonicity properties.

7.4 General methods of calculation: use of invariance
properties.

7.5 Random sampling times.

7.6 Brownian reward processes.

7.7 Asymptotically normal reward processes.

7.8 Diffusion bandits.

Exercises.

8 Multi-Population Random Sampling (Calculations).

8.1 Introduction.

8.2 Normal reward processes (known variance).

8.3 Normal reward processes (mean and variance both
unknown).

8.4 Bernoulli reward processes.

8.5 Exponential reward processes.

8.6 Exponential target process.

8.7 Bernoulli/exponential target process.

Exercises.

9 Further Exploitation.

9.1 Introduction.

9.2 Website morphing.

9.3 Economics.

9.4 Value of information.

9.5 More on job-scheduling problems.

9.6 Military applications.

References.

Tables.

Index.

Erscheint lt. Verlag 18.2.2011
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Technik
Schlagworte Ökonometrie u. statistische Methoden • Angewandte Wahrscheinlichkeitsrechnung u. Statistik • Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle • Applied Probability & Statistics • Applied Probability & Statistics - Models • Econometric & Statistical Methods • Entscheidungsfindung • Ökonometrie u. statistische Methoden • Statistics • Statistik • Wahrscheinlichkeitsrechnung
ISBN-10 1-119-99021-1 / 1119990211
ISBN-13 978-1-119-99021-5 / 9781119990215
Haben Sie eine Frage zum Produkt?
EPUBEPUB (Adobe DRM)
Größe: 10,1 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belle­tristik und Sach­büchern. Der Fließ­text wird dynamisch an die Display- und Schrift­größe ange­passt. Auch für mobile Lese­geräte ist EPUB daher gut geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Trigonometrie, Analytische Geometrie, Algebra, Wahrscheinlichkeit

von Walter Strampp

eBook Download (2024)
De Gruyter (Verlag)
CHF 92,75
Angewandte Analysis im Bachelorstudium

von Michael Knorrenschild

eBook Download (2022)
Carl Hanser Verlag GmbH & Co. KG
CHF 34,15

von Siegfried Völkel; Horst Bach; Jürgen Schäfer …

eBook Download (2024)
Carl Hanser Verlag GmbH & Co. KG
CHF 34,15