A maze exploration environment for OpenAIGym wrapping maze_explorer.
git clone https://github.com/mryellow/gym-mazeexplorer.git
cd gym-mazeexplorer
pip install -e .
pip install gym-mazeexplorer
import gym
import gym_mazeexplorer
env = gym.make('MazeExplorer-v0')
env.reset()
for _ in range(50):
env.render()
action = env.action_space.sample()
observation, reward, done, info = env.step(action)
python -m unittest discover
If you use Maze Explorer in your academic research, we would be grateful if you could cite it as follows:
@misc{mryellow2017mazeexplorer,
author = {Mr-Yellow},
title = {Maze Explorer: A maze exploration game for AI agents},
howpublished={Web page},
url = {https://github.com/mryellow/maze_explorer},
year = {2017}
}