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
Clasificación:Libro Electrónico
Autor principal: Balakrishnan, Kaushik
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2019.
Temas:
Python (Computer program language)
Artificial intelligence.
Machine learning.
Python (Langage de programmation)
Intelligence artificielle.
Apprentissage automatique.
artificial intelligence.
Database design & theory.
Mathematical theory of computation.
Information architecture.
Computers > Machine Theory.
Computers > Data Modeling & Design.
Computers > Intelligence (AI) & Semantics.
Acceso en línea:Texto completo
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 online resource (175 pages)
Bibliografía:Includes bibliographical references.
ISBN:1789533449
9781789533446

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