Applied Reinforcement Learning with Python

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

48,14 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Aktuell nicht verfügbar

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.

Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.

What You'll Learn
Implement reinforcement learning with Python
Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras
Deploy and train reinforcement learning¿based solutions via cloud resources
Apply practical applications of reinforcement learning

Who This Book Is For

Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.

Über den Autor

Taweh Beysolow II is a data scientist and author currently based in the United States. He has a Bachelor of Science degree in economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. After successfully exiting the startup he co-founded, he now is a Director at Industry Capital, a San Francisco based Private Equity firm, where he helps lead the Cryptocurrency and Blockchain platforms.

Zusammenfassung

Understand how to package and deploy solutions in Python that utilize deep learning

Includes specific topics such as Q learning and deep reinforcement-learning

Covers the latest reinforcement learning packages

Inhaltsverzeichnis

Chapter 1: Introduction to Reinforcement Learning.- Chapter 2: Reinforcement Learning Algorithms.- Chapter 3: Q Learning.- Chapter 4: Reinforcement Learning Based Market Making.- Chapter 5: Reinforcement Learning for Video Games.

Details

Erscheinungsjahr:	2019
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xv 168 S. 47 s/w Illustr. 168 p. 47 illus.
ISBN-13:	9781484251263
ISBN-10:	1484251261
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Beysolow Ii, Taweh
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 11 mm
Von/Mit:	Taweh Beysolow Ii
Erscheinungsdatum:	24.08.2019
Gewicht:	0,289 kg

Artikel-ID: 116808140