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Multi-Agent Machine Learning - A Reinforcement Approach

Language EnglishEnglish
Book Hardback
Book Multi-Agent Machine Learning - A Reinforcement Approach H M Schwartz
Libristo code: 02695104
Publishers John Wiley & Sons Inc, September 2014
Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding diff... Full description
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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
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

Categories

Mathematics & Science > Mathematics > Optimization > Game theory
Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering
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