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Multi-agent machine learning: a reinforcement approach
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 learn...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Wiley
2014
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2222509 |