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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...
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 |
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