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Multi-Agent Machine Learning
A Reinforcement Approach
Udgivet af John Wiley & Sons Inc
ISBN
9781118362082
Om denne bog
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility …
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Bogdetaljer
Forfatter
H. M. Schwartz
Forlag
John Wiley & Sons Inc
Kategori
Machine learning
ISBN-13
9781118362082
EAN
9781118362082
Format
Indbundet
Sprog
Engelsk
sider
256
Undertitel
- A Reinforcement Approach
Produktbeskrivelse
The book begins with a chapter on traditional methods of supervised learning, covering recursive least squares learning, mean square error methods, and stochastic approximation. Chapter 2 covers single agent reinforcement learning. Topics include learning value functions, Markov games, and TD learning with eligibility traces.
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