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Reinforcement Learning with TensorFlow

You're reading from  Reinforcement Learning with TensorFlow

Product type Book
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835725
Pages 334 pages
Edition 1st Edition
Languages
Author (1):
Sayon Dutta Sayon Dutta
Profile icon Sayon Dutta
Toc

Table of Contents (21) Chapters close

Title Page
Packt Upsell
Contributors
Preface
1. Deep Learning – Architectures and Frameworks 2. Training Reinforcement Learning Agents Using OpenAI Gym 3. Markov Decision Process 4. Policy Gradients 5. Q-Learning and Deep Q-Networks 6. Asynchronous Methods 7. Robo Everything – Real Strategy Gaming 8. AlphaGo – Reinforcement Learning at Its Best 9. Reinforcement Learning in Autonomous Driving 10. Financial Portfolio Management 11. Reinforcement Learning in Robotics 12. Deep Reinforcement Learning in Ad Tech 13. Reinforcement Learning in Image Processing 14. Deep Reinforcement Learning in NLP 1. Further topics in Reinforcement Learning 2. Other Books You May Enjoy Index

The OpenAI Gym


In order to download and install OpenAI Gym, you can use any of the following options:

$ git clone https://github.com/openai/gym 
$ cd gym 
$ sudo pip install -e . # minimal install

This will do the minimum install. You can later run the following to do a full install:

$ sudo pip install -e .[all]

You can also fetch Gym as a package for different Python versions as follows:

For Python 2.7, you can use the following options:

$ sudo pip install gym              # minimal install
$ sudo pip install gym[all]         # full install
$ sudo pip install gym[atari]       #for Atari specific environment installation

For Python 3.5, you can use the following options:

$ sudo pip3 install gym              # minimal install
$ sudo pip3 install gym[all]         # full install
$ sudo pip install gym[atari]       #for Atari specific environment installation

Understanding an OpenAI Gym environment

To understand the basics of importing Gym packages, loading an environment, and other important functions...

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