Metadata-Version: 2.4
Name: azul_marl_env
Version: 1.0.0
Summary: A library to enable AI agent training on board game
Author-email: Evaldas Visockas <developersediary@gmail.com>
License: GPL-3.0-or-later
Project-URL: Repository, https://github.com/AzulImplementation/AzulMARL
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: azul-game-engine>=1.0.2
Requires-Dist: pettingzoo>=1.24.3
Requires-Dist: gymnasium>=1.0.0
Requires-Dist: numpy>=1.21.0
Provides-Extra: test
Requires-Dist: pytest>=7.0.0; extra == "test"
Requires-Dist: numpy>=1.21.0; extra == "test"
Dynamic: license-file

# AzulMARL

[![codecov](https://codecov.io/gh/AzulImplementation/AzulMARL/branch/main/graph/badge.svg)](https://codecov.io/gh/AzulImplementation/AzulMARL)
[![PyPI version](https://badge.fury.io/py/ParkingLotGym.svg)](https://pypi.org/project/parkinglotgym/)

PettingZoo AI env for Azul multiplayer board game to enable AI agent training.
