Multi-Agent Machine Learning: A Reinforcement Approach

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Multi-Agent Machine Learning: A...

Multi-Agent Machine Learning: A Reinforcement Approach

Name: Multi-Agent Machine Learning: A Reinforcement Approach
ISBN: 9781118362082

H. M. Schwartz

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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

种类:

Engineering

年:

2014

出版:

出版社:

Wiley

语言:

english

页:

256

ISBN 10: