Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /

Show other versions (2)

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 met...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Lapan, Maxim (Author)
Format: Electronic eBook
Language:Inglés
Published: Birmingham, UK : Packt Publishing, 2018.
Subjects:
Reinforcement learning.
Machine learning.
Natural language processing (Computer science)
Artificial intelligence.
Natural Language Processing
Artificial Intelligence
Machine Learning
Apprentissage par renforcement (Intelligence artificielle)
Apprentissage automatique.
Traitement automatique des langues naturelles.
Intelligence artificielle.
artificial intelligence.
COMPUTERS > General.
Artificial intelligence
Machine learning
Reinforcement learning
Online Access:Texto completo (Requiere registro previo con correo institucional)
Search Result 1
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
by Lapan, Maxim
Published 2018
Texto completo
Texto completo
Electronic eBook
Search Result 2
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /
by Lapan, Maxim
Published 2018
Texto completo
Texto completo
Electronic eBook
Show all versions (3)

Similar Items