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Multi-Agent Machine Learning - A Reinforcement Approach
Language
English
English
Book
Hardback
Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding diff...
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Libristo code: 02695104
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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
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About the book
Full name
Multi-Agent Machine Learning - A Reinforcement Approach
Author
H M Schwartz
Language
English
English
Binding
Book - Hardback
Date of issue
2014
Number of pages
256
EAN
9781118362082
ISBN
111836208X
Libristo code
02695104
Publishers
John Wiley & Sons Inc
Weight
478
Dimensions
238 x 163 x 18
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