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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/2020519.3 SCH m c.1Perpustakaan Universitas PertaminaAvailable

Detail Information

Series Title
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Call Number
519.3 SCH m
Publisher Wiley : Hoboken, New Jersey.,
Collation
xi, 242 pages : illustrations ; 25 cm
Language
English
ISBN/ISSN
9781118362082
Classification
519.3
Content Type
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Media Type
-
Carrier Type
-
Edition
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Subject(s)
Specific Detail Info
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Statement of Responsibility
Department(s)
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