Skip to main content

Teach a computer to play any game

Project description

Zero Play Build Badge Coverage Badge PyPI Badge

Teach a computer to play any game

The zero play library is based on the ideas in the AlphaGo Zero paper and the example Python code in the alpha-zero-general project. The goal of this project is to make a reusable Python library that other projects can build on to make powerful computer opponents for many different board games. An example project that uses this library is Shibumi Games.

It includes a graphical display that you can use to play against the computer opponent or another human.

screenshot

Installing Zero Play

Even though Zero Play has a graphical display, it is a regular Python package, so you can install it with pip install zero-play. If you haven't installed Python packages before, read Brett Cannon's quick-and-dirty guide.

Then run it with the zero_play command.

The default installation generates some errors about bdist_wheel that don't seem to actually cause any problems. You can either ignore them, or install wheel before installing Zero Play.

pip install wheel
pip install zero-play
zero_play

Known bug on Ubuntu 20.04:

qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "" even though it was found.

This is a PySide2 bug that is missing some dependencies. You can work around it by installing those dependencies like this:

sudo apt install libxcb-xinerama0

More Information

If you'd like to help out with the project, or add your own games, see the CONTRIBUTING.md file in the source code. For all the details, look through the design journal for the project.

Related Projects

Here are some similar projects for inspiration or collaboration:

  • I already mentioned the alpha-zero-general project. It was a big inspiration, but I'm trying to build something that's easier to add new games to, or use as a library within another project.
  • Galvanise looks interesting. It's a mix of Python and C++, using Tensorflow. As of 2020, it looks like a single developer, without much documentation. The games are defined with GDL, not Python code.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zero_play-0.5.0.tar.gz (721.6 kB view details)

Uploaded Source

Built Distribution

zero_play-0.5.0-py3-none-any.whl (84.5 kB view details)

Uploaded Python 3

File details

Details for the file zero_play-0.5.0.tar.gz.

File metadata

  • Download URL: zero_play-0.5.0.tar.gz
  • Upload date:
  • Size: 721.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for zero_play-0.5.0.tar.gz
Algorithm Hash digest
SHA256 6864c608aa249dc73e7954424b47c4be2bff4b9bfb4814631785d1dbc2d545fb
MD5 236c27324b672273285fd18af6156315
BLAKE2b-256 310374cda69c6d84c0979be15f05ae527e0df1329738cb1541ab2b118dd17369

See more details on using hashes here.

File details

Details for the file zero_play-0.5.0-py3-none-any.whl.

File metadata

  • Download URL: zero_play-0.5.0-py3-none-any.whl
  • Upload date:
  • Size: 84.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.11

File hashes

Hashes for zero_play-0.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d99ad32e2aa5dd18f1196d2d39d7df9fcfd77829b6cae0e692e989f7cd6c9d27
MD5 ebab75e46783be72199809d82f31cd0e
BLAKE2b-256 1e0d60998e65003ceafb60e57464ce9c61fac06b1d34127f8bd5241f61d02fd0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page