Contribution to the study and the design of reinforcement functions

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The underlying concept in Reinforcement Learning is as simple as it is attractive: to learn by trial and error from the interaction with the environment. This approach allows us to deal with problems where a learning technique searches to improve the performance of the agent (the learner) over time....

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Detalles Bibliográficos
Autor principal:	Santos, Juan Miguel
Formato:	Articulo
Lenguaje:	Español
Publicado:	2000
Materias:	Ciencias Informáticas Reinforcement Learning Artificial Neural Networks
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/135464 https://publicaciones.sadio.org.ar/index.php/EJS/article/view/127
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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