Foundations of deep reinforcement learning theory and practice in Python

The Contemporary Introduction to Deep Reinforcement Learning that Combines Theory and Practice Deep reinforcement learning (deep RL) combines deep learning and reinforcement learning, in which artificial agents learn to solve sequential decision-making problems. In the past decade deep RL has achiev...

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Detalles Bibliográficos
Otros Autores: Graesser, Laura, author (author), Keng, Wah Loon, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boston : Addison-Wesley [2020]
Edición:First edition
Colección:Addison-Wesley data and analytics series.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630581006719

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