Handbook of Learning and Approximate Dynamic Programming

Handbook of Learning and Approximate Dynamic Programming

Author(s): Jennie Si, Andy Barto, Warren Powell, Donald Wunsch

Published Online: 29 MAY 2012 08:26AM EST

Print ISBN: 9780471660545

Online ISBN: 9780470544785

DOI: 10.1002/9780470544785

About this Book

  • A complete resource to Approximate Dynamic Programming (ADP), including on-line simulation code
  • Provides a tutorial that readers can use to start implementing the learning algorithms provided in the book
  • Includes ideas, directions, and recent results on current research issues and addresses applications where ADP has been successfully implemented
  • The contributors are leading researchers in the field

Table of contents

    1. You have free access to this content
  1. Part I: Overview

  2. Part II: Technical Advances

    1. Chapter 11

      Hierarchical Approaches to Concurrency, Multiagency, and Partial Observability (pages 285–310)

      Sridhar Mahadevan, Mohammad Ghavamzadeh, Khashayar Rohanimanesh and Georgias Theocharous

  3. Part III: Applications

    1. You have free access to this content
    1. You have free access to this content

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