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Python Reinforcement Learning Projects
book

Python Reinforcement Learning Projects

by Sean Saito, Yang Wenzhuo, Rajalingappaa Shanmugamani
September 2018
Intermediate to advanced
296 pages
9h 10m
English
Packt Publishing
Content preview from Python Reinforcement Learning Projects

Installation 

The primary interface of the gym is used through Python. Once you have Python3 in an environment with the pip installer, the gym can be installed as follows:

sudo pip install gym 

Advanced users that want to modify the source can compile from the source by using the following commands:

git clone https://github.com/openai/gym cd gym pip install -e .

A new environment can be added to the gym with the source code. There are several environments that need more dependencies. For macOS, install the dependencies by using the following command:

brew install cmake boost boost-python sdl2 swig wget

For Ubuntu, use the following commands:

apt-get install -y python-numpy python-dev cmake zlib1g-dev libjpeg-dev xvfb libav-tools xorg-dev ...
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Publisher Resources

ISBN: 9781788991612