{"repo":"qlan3/gym-games","free":true,"listed":false,"github":"https://github.com/qlan3/gym-games","clone":"git clone https://github.com/qlan3/gym-games.git","description":"A collection of Gymnasium compatible games for reinforcement learning.","language":"Python","stars":90,"topics":["deep-learning","deep-reinforcement-learning","reinforcement-learning","pygame","atari","minatar","gym-pygame","games","exploration-game","gym-environments"],"license":"MIT","category":"machine-learning","readme_excerpt":"Gym Games This is a collection of Gymnasium compatible games for reinforcement learning. [!NOTE] For Gym compatible version, please check v1.0.4. For PyGame Learning Environment, the default observation is a non-visual state representation of the game. For MinAtar, the default observation is a visual input of the game. Environments - PyGame learning environment: - Catcher-PLE-v0 - FlappyBird-PLE-v0 - Pixelcopter-PLE-v0 - PuckWorld-PLE-v0 - Pong-PLE-v0 - MinAtar: - Asterix-MinAtar-v1 - Breakout-MinAtar-v1 - Freeway-MinAtar-v1 - Seaquest-MinAtar-v1 - SpaceInvaders-MinAtar-v1 - Exploration games: - NChain-v1 - LockBernoulli-v0 - LockGaussian-v0 - SparseMountainCar-v0 - DiabolicalCombLock-v0 Installation Gymnasium Please read the instruction here. Pygame - On OSX: See here for more details. brew install sdl2 sdl2 image sdl2 mixer sdl2 ttf pkg-config pip install pygame==2.5.2 - On Ubuntu: sudo apt-get -y install python-pygame pip install pygame==2.5.2 - Others: Please read the instruction here. PyGame Learning Environment git clone https://github.com/ntasfi/PyGame-Learning-Environment.git cd PyGame-Learning-Environment/ pip install -e . MinAtar pip install minatar==1.0.15 Gym-games pip install git+https://github.com/qlan3/gym-games.git Example Run python test.py . Cite Please use this bibtex to cite this repo: References - gym - gym-ple - SRNN - MinAtar - Latent State Decoding - Gymnasium","default_branch":null,"files":null,"tree":[],"storefront":"/r/qlan3","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/qlan3/gym-games/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}