Read online: Reinforcement Learning and

Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions by Warren B. Powell

Free ebook in pdf format download Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions (English Edition) by Warren B. Powell

Download Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions PDF

  • Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions
  • Warren B. Powell
  • Page: 1136
  • Format: pdf, ePub, mobi, fb2
  • ISBN: 9781119815037
  • Publisher: Wiley

Download eBook




Free ebook in pdf format download Reinforcement Learning and Stochastic Optimization: A Unified Framework for Sequential Decisions (English Edition) by Warren B. Powell

Overview

REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, information, decision, information,” are ubiquitous, spanning virtually every human activity ranging from business applications, health (personal and public health, and medical decision making), energy, the sciences, all fields of engineering, finance, and e-commerce. The diversity of applications attracted the attention of at least 15 distinct fields of research, using eight distinct notational systems which produced a vast array of analytical tools. A byproduct is that powerful tools developed in one community may be unknown to other communities. Reinforcement Learning and Stochastic Optimization offers a single canonical framework that can model any sequential decision problem using five core components: state variables, decision variables, exogenous information variables, transition function, and objective function. This book highlights twelve types of uncertainty that might enter any model and pulls together the diverse set of methods for making decisions, known as policies, into four fundamental classes that span every method suggested in the academic literature or used in practice. Reinforcement Learning and Stochastic Optimization is the first book to provide a balanced treatment of the different methods for modeling and solving sequential decision problems, following the style used by most books on machine learning, optimization, and simulation. The presentation is designed for readers with a course in probability and statistics, and an interest in modeling and applications. Linear programming is occasionally used for specific problem classes. The book is designed for readers who are new to the field, as well as those with some background in optimization under uncertainty. Throughout this book, readers will find references to over 100 different applications, spanning pure learning problems, dynamic resource allocation problems, general state-dependent problems, and hybrid learning/resource allocation problems such as those that arose in the COVID pandemic. There are 370 exercises, organized into seven groups, ranging from review questions, modeling, computation, problem solving, theory, programming exercises and a “diary problem” that a reader chooses at the beginning of the book, and which is used as a basis for questions throughout the rest of the book.

Other ebooks: Download PDF Until Proven Safe: The History and Future of Quarantine by Nicola Twilley, Geoff Manaugh read book, [Descargar pdf] LAS DIVINAS read book, [PDF/Kindle] All-American Ads of the 60s by Steven Heller, Jim Heimann read book, {pdf download} Walking Dead Tome 32 read book, [PDF/Kindle] A Soul as Cold as Frost by Jennifer Kropf read book, Microsoft 365 Excel: The Only App That Matters: Calculations, Analytics, Modeling, Data Analysis and Dashboard Reporting for the New Era of Dynamic Data Driven Decision Making & Insight by on Audiobook New download link, PDF [DOWNLOAD] UDON's Art of Capcom 2 - Hardcover Edition by UDON on Iphone link, [Kindle] Silencio download read book, [Kindle] Lait et miel download site, PDF [Download] Abe Sapien: Dark and Terrible Volume 1 by Mike Mignola, John Arcudi, Scott Allie, Max Fiumara, Sebastian Fiumara, Mike Mignola, John Arcudi, Scott Allie, Max Fiumara, Sebastian Fiumara link,

0コメント

  • 1000 / 1000