Multi-Agent Machine Learning: A Reinforcement Approach - Hardcover

Multi-Agent Machine Learning: A Reinforcement Approach - Hardcover

$178.49
Skip to product information
Multi-Agent Machine Learning: A Reinforcement Approach - Hardcover

Multi-Agent Machine Learning: A Reinforcement Approach - Hardcover

$178.49

by H. M. Schwartz (Author)

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.

- 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

Back Jacket

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.

Author Biography

Howard M. Schwartz, PhD, received his B.Eng. Degree from McGill University, Montreal, Canada in une 1981 and his MS Degree and PhD Degree from MIT, Cambridge, USA in 1982 and 1987 respectively. He is currently a professor in systems and computer engineering at Carleton University, Canada. His research interests include adaptive and intelligent control systems, robotic, artificial intelligence, system modelling, system identification, and state estimation.

Number of Pages: 256
Dimensions: 0.7 x 9.3 x 6.1 IN
Publication Date: August 11, 2014

Made with care

Great value

Elegant design

Quality materials

Details

This product is crafted with quality materials to ensure durability and performance. Designed with your convenience in mind, it seamlessly fits into your everyday life.

Shipping & Returns

We strive to process and ship all orders in a timely manner, working diligently to ensure that your items are on their way to you as soon as possible.

We are committed to ensuring a positive shopping experience for all our customers. If for any reason you wish to return an item, we invite you to reach out to our team for assistance, and we will evaluate every return request with care and consideration.

Play video

Shop The Full Collection

!Ah y Le Lo Lay, Le Lo Ley! Musica Tipica de Puerto Rico - Paperback

!Búscalo! (Look It Up!): A Quick Reference Guide to Spanish Grammar and Usage - Hardcover

!Búscalo! (Look It Up!): A Quick Reference Guide to Spanish Grammar and Usage - Paperback

!LETTER TO THE UNITED NATIONS! !REPARATIONS NOW! The Many Reasons Why: St. Mark's-in-the-Bowery Church, The Dutch Royal Family, The Kingdom of the Net - Paperback