Multi-Agent Machine Learning: A Reinforcement Approach - Hardcover

Schwartz, H. M.

Hardcover

ISBN 10: 111836208X ISBN 13: 9781118362082

Publisher: Wiley, 2014

Synopsis

Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents applications in game theory and robotics. * Framework for understanding a variety of methods and approaches in multi-agent machine learning. * Discusses methods of reinforcement learning such as a number of forms of multi-agent Q-learning * Applicable to research professors and graduate students studying electrical and computer engineering, computer science, and mechanical and aerospace engineering

About this title

Review:

"This is an interesting book both as research reference as well as teaching material for Master and PhD students." (Zentralblatt MATH, 1 April 2015)

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From the Back Cover:

The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces. Chapter 3 discusses two player games including two player matrix games with both pure and mixed strategies. Numerous algorithms and examples are presented. Chapter 4 covers learning in multi-player games, stochastic games, and Markov games, focusing on learning multi-player grid games--two player grid games, Q-learning, and Nash Q-learning. Chapter 5 discusses differential games, including multi player differential games, actor critique structure, adaptive fuzzy control and fuzzy interference systems, the evader pursuit game, and the defending a territory games. Chapter 6 discusses new ideas on learning within robotic swarms and the innovative idea of the evolution of personality traits.

About this edition

• Publisher: Wiley
• Publication date: 2014
• ISBN 10: 111836208X
• ISBN 13: 9781118362082
• Binding: Hardcover
• Edition number: 1
• Number of pages: 256