Deep reinforcement learning in action

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Deep reinforcement learning in action

Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep...

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Detalles Bibliográficos
Otros Autores:	Zai, Alexander, author (author), Brown, Brandon (Author of Deep reinforcement learning in action), author
Formato:	Grabación no musical
Idioma:	Inglés
Publicado:	[Shelter Island, New York] : Manning Publications 2020.
Edición:	[First edition]
Materias:	Machine learning. Computer algorithms. Reinforcement learning. Computational learning theory. Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822915306719

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