Multi-Agent Machine Learning - Howard M. Schwartz

Multi-Agent Machine Learning
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Autor: Howard M. Schwartz

 Wydawnictwo: John Wiley Sons
ISBN: 9781118362082
EAN:
Format: ...
Oprawa: twarda
Stron: 256
Data wydania: 2014-09-01
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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

Książka "Multi-Agent Machine Learning"
Howard M. Schwartz