TensorFlow Reinforcement Learning Quick Start Guide : Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python

TensorFlow Reinforcement Learning Quick Start Guide Get up and Running with Training and Deploying Intelligent, Self-Learning Agents Using Python

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This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of algorithms such as Deep Q-Network (DQN), Dee...

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Detalles Bibliográficos
Autor principal: Balakrishnan, Kaushik (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd 2019.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45008048*spi
Descripción
Sumario:This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of algorithms such as Deep Q-Network (DQN), Deep Deterministic Policy Gradients (DDPG), and ...
Notas:The A3C algorithm applied to LunarLander.
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
ISBN:9781789533446

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