Multi-agent machine learning : a reinforcement approach

Multi-agent machine learning : a reinforcement approach / Howard M. Schwartz.

"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
Other Authors: Schwartz, Howard M. (Editor)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley & Sons, [2014]
Subjects:
Reinforcement learning.
Differential games.
Swarm intelligence.
Machine learning.
TECHNOLOGY & ENGINEERING > Electronics > General.
Differential games
Machine learning
Reinforcement learning
Swarm intelligence
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