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Multi-agent machine learning : a reinforcement approach /

"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...

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Détails bibliographiques
Auteur principal: Schwartz, Howard M.
Format: Printed Book
Langue:English
Publié: New Jersey: Wiley, 2014.
Sujets:
Accès en ligne:http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg

Internet

http://catalogimages.wiley.com/images/db/jimages/9781118362082.jpg

DCS

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Cote: 004.85 SCH
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