Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

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.

1132330447
Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

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.

44.99 In Stock
Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

by Taweh Beysolow II
Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

Applied Reinforcement Learning with Python: With OpenAI Gym, Tensorflow, and Keras

by Taweh Beysolow II

eBook1st ed. (1st ed.)

$44.99 

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Overview

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.


Product Details

ISBN-13: 9781484251270
Publisher: Apress
Publication date: 08/23/2019
Sold by: Barnes & Noble
Format: eBook
File size: 4 MB
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