Maxim Lapan
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more Maxim Lapan

Name: Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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Author: Maxim Lapan

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Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Maxim Lapan

This book is a practical, developer-oriented introduction to deep reinforcement learning (RL). Explore the theoretical concepts of RL, before discovering how deep learning (DL) methods and tools are making it possible to solve more complex and challenging problems than ever before. Apply deep RL methods to training your agent to beat arcade ...

546 pages

Medios de comunicación	Libros Paperback Book (Libro con tapa blanda y lomo encolado)
Publicado	20 de junio de 2018
ISBN13	9781788834247
Editores	Packt Publishing Limited
Páginas	546
Dimensiones	236 × 247 × 35 mm · 925 g
Lengua	Inglés