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Applied Reinforcement Learning with Python

With OpenAI Gym, Tensorflow, and Keras

Authors: Beysolow, Taweh

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  • 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
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eBook 19,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5127-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 25,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5126-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

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.

About the authors

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.

Table of contents (5 chapters)

Table of contents (5 chapters)
  • Introduction to Reinforcement Learning

    Pages 1-17

    Beysolow II, Taweh

  • Reinforcement Learning Algorithms

    Pages 19-53

    Beysolow II, Taweh

  • Reinforcement Learning Algorithms: Q Learning and Its Variants

    Pages 55-76

    Beysolow II, Taweh

  • Market Making via Reinforcement Learning

    Pages 77-94

    Beysolow II, Taweh

  • Custom OpenAI Reinforcement Learning Environments

    Pages 95-112

    Beysolow II, Taweh

Buy this book

eBook 19,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5127-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 25,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5126-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Applied Reinforcement Learning with Python
Book Subtitle
With OpenAI Gym, Tensorflow, and Keras
Authors
Copyright
2019
Publisher
Apress
Copyright Holder
Taweh Beysolow II
eBook ISBN
978-1-4842-5127-0
DOI
10.1007/978-1-4842-5127-0
Softcover ISBN
978-1-4842-5126-3
Edition Number
1
Number of Pages
XV, 168
Number of Illustrations
47 b/w illustrations
Topics