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Open access peer-reviewed Edited Volume

Advances in Reinforcement Learning

Edited by Abdelhamid Mellouk

Paris 12 Val de Marne University, France

Reinforcement Learning (RL) is a very dynamic area in terms of theory and application. This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. A set of chapters in this book provide a general overview of RL while other chapters focus mostly on the applications of RL paradigms: Game Theory, Multi-Agent Theory, Robotic, Networking Technologies, Vehicular Navigation, Medicine and Industrial Logistic.

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Advances in Reinforcement LearningEdited by Abdelhamid Mellouk

Published: January 14th 2011

DOI: 10.5772/557

ISBN: 978-953-307-369-9

eBook (PDF) ISBN: 978-953-51-5503-4

Copyright year: 2011

Books open for chapter submissions

46412 Total Chapter Downloads

37 Crossref Citations

41 Web of Science Citations

54 Dimensions Citations


Open access peer-reviewed

1. Wireless Networks Inductive Routing Based on Reinforcement Learning Paradigms

By Abdelhamid Mellouk


Open access peer-reviewed

2. Cooperative Agent Learning Model in Multi-cluster Grid

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


Open access peer-reviewed

3. A Reinforcement Learning Approach to Intelligent Goal Coordination of Two-Level Large-Scale Control Systems

By Nasser Sadati and Guy A. Dumont


Open access peer-reviewed

4. Reinforcement Learning of User Preferences for a Ubiquitous Personal Assistant

By Sofia Zaidenberg and Patrick Reignier


Open access peer-reviewed

5. Cooperative Behavior Rule Acquisition for Multi-Agent Systems by Machine Learning

By Mengchun Xie


Open access peer-reviewed

6. Emergence of Intelligence through Reinforcement Learning with a Neural Network

By Katsunari Shibata


Open access peer-reviewed

7. Reinforcement Learning Using Kohonen Feature Map Probabilistic Associative Memory Based on Weights Distribution

By Yuko Osana


Open access peer-reviewed

8. How to Recommend Preferable Solutions of a User in Interactive Reinforcement Learning?

By Tomohiro Yamaguchi, Takuma Nishimura and Kazuhiro Sato


Open access peer-reviewed

9. Reward Prediction Error Computation in the Pedunculopontine Tegmental Nucleus Neurons

By Yasushi Kobayashi and Ken-ichi Okada


Open access peer-reviewed

10. Subgoal Identifications in Reinforcement Learning: A Survey

By Chung-Cheng Chiu and Von-Wun Soo


Open access peer-reviewed

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


Open access peer-reviewed

12. Characterization of Motion Forms of Mobile Robots Generated in Q-Learning Process

By Masayuki Hara, Jian Huang and Testuro Yabuta


Open access peer-reviewed

13. A Robot Visual Homing Model that Traverses Conjugate Gradient TD to a Variable λ TD and Uses Radial Basis Features

By Abdulrahman Altahhan


Open access peer-reviewed

14. Complex-Valued Reinforcement Learning: a Context-Based Approach for POMDPs

By Takeshi Shibuya and Tomoki Hamagami


Open access peer-reviewed

15. Adaptive PID Control of a Nonlinear Servomechanism Using Recurrent Neural Networks

By Reza Jafari and Rached Dhaouadi


Open access peer-reviewed

16. Robotic Assembly Replanning Agent Based on Neural Network Adjusted Vibration Parameters

By Lejla Banjanovic-Mehmedovic and Senad Karic


Open access peer-reviewed

17. Integral Reinforcement Learning for Finding Online the Feedback Nash Equilibrium of Nonzero-Sum Differential Games

By Draguna Vrabie and Frank L. Lewis


Open access peer-reviewed

18. Online Gaming: Real Time Solution of Nonlinear Two-Player Zero-Sum Games Using Synchronous Policy Iteration

By Kyriakos G. Vamvoudakis and Frank L. Lewis


Open access peer-reviewed

19. Hybrid Intelligent Algorithm for Flexible Job-Shop Scheduling Problem under Uncertainty

By Guojun Zhang, Haiping Zhu and Chaoyong Zhang


Open access peer-reviewed

20. Adaptive Critic Designs-Based Autonomous Unmanned Vehicles Navigation: Application to Robotic Farm Vehicles

By Daniel Patino and Santiago Tosetti


Open access peer-reviewed

21. DAQL-Enabled Autonomous Vehicle Navigation in Dynamically Changing Environment

By Chi Kit Ngai and Nelson H. C. Yung


Open access peer-reviewed

22. Distributed Parameter Bioprocess Plant Identification and I-Term Control Using Decentralized Fuzzy-Neural Multi-Models

By Ieroham Baruch, Rosalba Galvan-Guerra and Sergio-Miguel Hernandez M.


Open access peer-reviewed

23. An Intelligent Marshaling Based on Transfer Distance of Containers Using a New Reinforcement Learning for Logistics

By Yoichi Hirashima


Open access peer-reviewed

24. Optimal Cardiac Pacing with Q Learning

By Rami Rom and Renzo DalMolin


Edited Volume and chapters are indexed in

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

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