A handy package for kickstarting AI contests

We proudly provide a Python framework that makes the building of an environment for adversarial agents easy !

A lot of fun functionalities are provided an easily usable out of the box !

Implementing a new game setup from scratch ? Painless !
Playing against remote agents ? Easy !
Generating and collecting data about played games ? Worriless !
Organizing a contest for a large range of agents ? Quick and reliable !

Installation

The package is publicly available on PyPI.

We strongly encourage the use of a virtual environment:

    $ python3 -m venv venv

    $ source venv/bin/[activate|Activate.ps1]

    (venv)$ pip install seahorse

Documentation

Our full documentation and a series of tutorials are available on corail-research.github.io.

Main contributors

We are an enthusiastic team of M.Sc candidates led by Pr. Quentin Cappart at Polytechnique Montréal. The package was originally developed in the context of a introductory course to artificial intelligence given to undergrad computer and software engineering students. Checkout our lab's page for more information.