Multi-agent machine learning: a reinforcement approach
Auteur :
Schwartz, H. M.
Éditeur :
John Wiley & Sons Inc
ISBN :
9781118362082
Date de publication :
26 sept. 2014
Dimensions :
21,0 x 15,0 x 2,5 cm
Poids :
478 g
Format :
book
Langue :
Anglais
Pays d'origine :
Grande Bretagne
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.