ISBN-10:
0262194384
ISBN-13:
9780262194389
Pub. Date:
03/03/2000
Publisher:
MIT Press
Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer

Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer

by Peter Stone

Hardcover

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Overview

This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments.

This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems. First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purpose machine-learning method for complex domains in which learning a mapping directly from agents' sensors to their actuators is intractable with existing machine-learning methods. Third, the book introduces a new multiagent reinforcement learning algorithm—team-partitioned, opaque-transition reinforcement learning (TPOT-RL)—designed for domains in which agents cannot necessarily observe the state-changes caused by other agents' actions. The final contribution is a fully functioning multiagent system that incorporates learning in a real-time, noisy domain with teammates and adversaries—a computer-simulated robotic soccer team. Peter Stone's work is the basis for the CMUnited Robotic Soccer Team, which has dominated recent RoboCup competitions. RoboCup not only helps roboticists to prove their theories in a realistic situation, but has drawn considerable public and professional attention to the field of intelligent robotics. The CMUnited team won the 1999 Stockholm simulator competition, outscoring its opponents by the rather impressive cumulative score of 110-0.

Product Details

ISBN-13: 9780262194389
Publisher: MIT Press
Publication date: 03/03/2000
Series: Intelligent Robotics and Autonomous Agents series
Pages: 284
Product dimensions: 6.20(w) x 9.00(h) x 1.15(d)
Age Range: 18 Years

About the Author

Peter Stone is Assistant Professor of Computer Sciences, Alfred P. Sloan Research Fellow, and Director of the Learning Agents Group, University of Texas at Austin. He is the recipient of the International Joint Conference on Artificial Intelligence (IJCAI) 2007 Computers and Thought Award.

Table of Contents

Preface ix
Introduction
1(8)
Substrate Systems
9(32)
Team Member Agent Architecture
41(48)
Layered Learning
89(16)
Learning an Individual Skill
105(12)
Learning a Multiagent Behavior
117(24)
Learning a Team Behavior
141(40)
Competition Results
181(16)
Related Work
197(34)
Conclusions and Future Work
231(8)
Appendix A: List of Acronyms 239(2)
Appendix B: Robotic Soccer Agent Skills 241(14)
Appendix C: CMUnited-98 Simulator Team Behavior Modes 255(4)
Appendix D: CMUnited Simulator Team Source Code 259(2)
References 261

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