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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 and robotics. Framework for understanding a variety of methods and approaches in multi-agent machine learning.
Availability
9304/PUP/2020 | 519.3 SCH m c.1 | Perpustakaan Universitas Pertamina | Available |
Detail Information
Series Title |
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Call Number |
519.3 SCH m
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Publisher | Wiley : Hoboken, New Jersey., 2014 |
Collation |
xi, 242 pages : illustrations ; 25 cm
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Language |
English
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ISBN/ISSN |
9781118362082
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Classification |
519.3
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Content Type |
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Edition |
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Specific Detail Info |
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Statement of Responsibility |
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Department(s) |
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Other version/related
No other version available