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 !
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
Our full documentation and a series of tutorials are available on corail-research.github.io.
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.
seahorse is distributed under the termes of the 3-Clause BSD License.
