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Python Reinforcement Learning Projects

You're reading from   Python Reinforcement Learning Projects Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788991612
Length 296 pages
Edition 1st Edition
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Authors (3):
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Sean Saito Sean Saito
Author Profile Icon Sean Saito
Sean Saito
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
Yang Wenzhuo Yang Wenzhuo
Author Profile Icon Yang Wenzhuo
Yang Wenzhuo
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Toc

Introduction to the Minecraft environment


The original OpenAI Gym does not contain the Minecraft environment. We need to install a Minecraft environment bundle, available at https://github.com/tambetm/gym-minecraft. This bundle is built based on Microsoft's Malmö, which is a platform for AI experimentation and research built on top of Minecraft.

Before installing the gym-minecraft package, Malmö should first be downloaded from https://github.com/Microsoft/malmo. We can download the latest pre-built version from https://github.com/Microsoft/malmo/releases. After unzipping the package, go to the Minecraft folder and run launchClient.bat on Windows, or launchClient.sh on Linux/MacOS, to launch a Minecraft environment. If it is successfully launched, we can now install gym-minecraft via the following scripts:

python3 -m pip install gym
python3 -m pip install pygame

git clone https://github.com/tambetm/minecraft-py.git
cd minecraft-py
python setup.py install

git clone https://github.com/tambetm...
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