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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Graesser, Laura (VerfasserIn), Keng, Wah Loon (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Boston Addison-Wesley [2020]
Ausgabe:	First edition.
Schriftenreihe:	Addison-Wesley data & analytics series
Schlagworte:	Python (Computer program language) Machine learning Reinforcement learning Neural networks (Computer science) Artificial intelligence Python (Langage de programmation) Apprentissage automatique Apprentissage par renforcement (Intelligence artificielle) Réseaux neuronaux (Informatique) Intelligence artificielle artificial intelligence
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