Open access peer-reviewed Edited Volume

Advances in Reinforcement Learning

Book metrics overview

53,037 Chapter Downloads

View Full Metrics

Academic Editor

Abdelhamid Mellouk
Abdelhamid Mellouk

Paris 12 Val de Marne University,
France

Published14 January 2011

Doi10.5772/557

ISBN978-953-307-369-9

eBook (PDF) ISBN978-953-51-5503-4

Copyright year2011

Number of pages484

Read more
Order Print Copy

Edited Volume and chapters are indexed in

  • Google Scholar
  • DOAB
  • Crossref
  • Dimension
  • OpenAIRE
  • AZ ebsco
  • Worldcat
Show more

Table of Contents

Open access  chapters

2. Cooperative Agent Learning Model in Multi-cluster Grid

By Qingkui Chen, Songlin Zhuang and He Jia, XiaoDong Ding

1,921
1
2,143
3
2,356
6
11. A Reinforcement Learning System Embedded Agent with Neural Network-Based Adaptive Hierarchical Memory Structure

By Masanao Obayashi, Kenichiro Narita, Yohei Okamoto, Takashi Kuremoto, Kunikazu Kobayashi and Liangbing Feng

2,103
1
2,006
1
24. Optimal Cardiac Pacing with Q Learning

By Rami Rom and Renzo DalMolin

2,444

IMPACT OF THIS BOOK AND ITS CHAPTERS

53,037 Total Chapter Downloads

2,916 Total Chapter Views

48 Crossref Citations

43 Web of Science Citations

70 Dimensions Citations

1 Altmetric Score

Order a print copy of this book

£139 (ex. VAT)*

Hardcover | Printed Full Colour

IntechOpen Contributor? Get your Discount

FREE SHIPPING WORLDWIDE

Order & Delivery info

* Residents of European Union countries need to add a Book Value-Added Tax Rate based on their country of residence. Institutions and companies, registered as VAT taxable entities in their own EU member state, will not pay VAT by providing IntechOpen with their VAT registration number. This is made possible by the EU reverse charge method.

Instructor? Request an Exam Copy