Open access peer-reviewed Edited Volume

Reinforcement Learning

Edited by Cornelius Weber

Goethe University Frankfurt, Germany

Co-editors:

N. Michael Mayer

National Chung Cheng University, Taiwan

Brains rule the world, and brain-like computation is increasingly used in computers and electronic devices. Brain-like computation is about processing and interpreting data or directly putting forward and performing actions. Learning is a very important aspect. This book is on reinforcement learning which involves performing actions to achieve a goal. The first 11 chapters of this book describe and extend the scope of reinforcement learning. The remaining 11 chapters show that there is already wide usage in numerous fields. Reinforcement learning can tackle control tasks that are too complex for traditional, hand-designed, non-learning controllers. As learning computers can deal with technical complexities, the tasks of human operators remain to specify goals on increasingly higher levels. This book shows that reinforcement learning is a very dynamic area in terms of theory and applications and it shall stimulate and encourage new research in this field.

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Reinforcement LearningEdited by Cornelius Weber

Published: January 1st 2008

DOI: 10.5772/54

ISBN: 978-3-902613-14-1

Copyright year: 2008

Books open for chapter submissions

78751 Total Chapter Downloads

17 Crossref Citations

45 Web of Science Citations

50 Dimensions Citations

chaptersDownloads

Open access peer-reviewed

1. Neural Forecasting Systems

By Takashi Kuremoto, Masanao Obayashi and Kunikazu Kobayashi

5181

Open access peer-reviewed

2. Reinforcement Learning in System Identification

By Mariela Cerrada and Jose Aguilar

3582

Open access peer-reviewed

3. Reinforcement Evolutionary Learning for Neuro-Fuzzy Controller Design

By Cheng-Jian Lin

3265

Open access peer-reviewed

4. Superposition-Inspired Reinforcement Learning and Quantum Reinforcement Learning

By Chun-Lin Chen and Dao-Yi Dong

3865

Open access peer-reviewed

5. An Extension of Finite-state Markov Decision Process and an Application of Grammatical Inference

By Takeshi Shibata and Ryo Yoshinaka

2901

Open access peer-reviewed

6. Interaction Between the Spatio-Temporal Learning Rule (Non Hebbian) and Hebbian in Single Cells: A Cellular Mechanism of Reinforcement Learning

By Minoru Tsukada

3009

Open access peer-reviewed

7. Reinforcement Learning Embedded in Brains and Robots

By Cornelius Weber, Mark Elshaw, Stefan Wermter, Jochen Triesch and Christopher Willmot

3432

Open access peer-reviewed

8. Decentralized Reinforcement Learning for the Online Optimization of Distributed Systems

By Jim Dowling and Seif Haridi

3821

Open access peer-reviewed

9. Multi-Automata Learning

By Verbeeck Katja, Nowe Ann, Vrancx Peter and Peeters Maarten

3450

Open access peer-reviewed

10. Abstraction for Genetics-Based Reinforcement Learning

By Will Browne, Dan Scott and Charalambos Ioannides

4727

Open access peer-reviewed

11. Dynamics of the Bush-Mosteller Learning Algorithm in 2x2 Games

By Luis R. Izquierdo and Segismundo S. Izquierdo

3298

Open access peer-reviewed

12. Modular Learning Systems for Behavior Acquisition in Multi-Agent Environment

By Yasutake Takahashi and Minoru Asada

3195

Open access peer-reviewed

13. Optimising Spoken Dialogue Strategies within the Reinforcement Learning Paradigm

By Olivier Pietquin

2499

Open access peer-reviewed

14. Water Allocation Improvement in River Basin Using Adaptive Neural Fuzzy Reinforcement Learning Approach

By Abolpour B., Javan M. and Karamouz M.

3268

Open access peer-reviewed

15. Reinforcement Learning for Building Environmental Control

By Konstantinos Dalamagkidis and Dionysia Kolokotsa

3384

Open access peer-reviewed

16. Model-Free Learning Control of Chemical Processes

By S. Syafiie, F. Tadeo and E. Martinez

4339

Open access peer-reviewed

17. Reinforcement Learning-Based Supervisory Control Strategy for a Rotary Kiln Process

By Xiaojie Zhou, Heng Yue and Tianyou Chai

4277

Open access peer-reviewed

18. Inductive Approaches Based on Trial/Error Paradigm for Communications Network

By Abdelhamid Mellouk

2837

Open access peer-reviewed

19. The Allocation of Time and Location Information to Activity-Travel Sequence Data by Means of Reinforcement Learning

By Wets Janssens

2839

Open access peer-reviewed

20. Application on Reinforcement Learning for Diagnosis Based on Medical Image

By Stelmo Magalhaes Barros Netto, Vanessa Rodrigues Coelho Leite, Aristofanes Correa Silva, Anselmo Cardoso de Paiva and Areolino de Almeida Neto

4802

Open access peer-reviewed

21. RL Based Decision Support System for u-Healthcare Environment

By Devinder Thapa, In-Sung Jung and Gi-Nam Wang

3407

Open access peer-reviewed

22. Reinforcement Learning to Support Meta-Level Control in Air Traffic Management

By Daniela P. Alves, Li Weigang and Bueno B. Souza

3373

Edited Volume and chapters are indexed in

  • Worldcat
  • OpenAIRE
  • Google Scholar
  • AZ ebsco
  • Base
  • CNKI
  • IET Inspec

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