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Multi-agent machine learning : a reinforcement approach /

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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...

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Bibliographic Details
Call Number:	Libro Electrónico
Other Authors:	Schwartz, Howard M. (Editor)
Format:	Electronic eBook
Language:	Inglés
Published:	Hoboken, NJ : John Wiley & Sons, [2014]
Subjects:	Reinforcement learning. Differential games. Swarm intelligence. Machine learning. Apprentissage par renforcement (Intelligence artificielle) Jeux différentiels. Apprentissage automatique. TECHNOLOGY & ENGINEERING > Electronics > General. Differential games Machine learning Reinforcement learning Swarm intelligence
Online Access:	Texto completo (Requiere registro previo con correo institucional)

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