Using combination of actions in reinforcement learning

Software agents are programs that can observe their environment and act in an attempt to reach their design goals. In most cases the selection of particular agent architecture determines the behaviour in response to the different problem states However, there are some problem domains in which it is...

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Detalles Bibliográficos
Autores principales:	Karanik, Marcelo J., Gramajo, Sergio D.
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2010
Materias:	Ciencias Informáticas Learning SARSA optimal policy action combination
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9663 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr10-4.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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