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compatible version, please check [v1.0.4](https://github.com/qlan3/gym-games/releases/tag/v1.0.4).\n\nFor [PyGame Learning Environment](https://pygame-learning-environment.readthedocs.io/en/latest/user/games.html), the default observation is a non-visual state representation of the game. \n\nFor [MinAtar](https://github.com/kenjyoung/MinAtar), the default observation is a visual input of the game.\n\n## Environments\n\n- PyGame learning environment:\n  - Catcher-PLE-v0\n  - FlappyBird-PLE-v0\n  - Pixelcopter-PLE-v0\n  - PuckWorld-PLE-v0\n  - Pong-PLE-v0\n\n- MinAtar:\n  - Asterix-MinAtar-v1\n  - Breakout-MinAtar-v1\n  - Freeway-MinAtar-v1\n  - Seaquest-MinAtar-v1\n  - SpaceInvaders-MinAtar-v1\n\n- Exploration games:\n  - NChain-v1\n  - LockBernoulli-v0\n  - LockGaussian-v0\n  - SparseMountainCar-v0\n  - DiabolicalCombLock-v0\n\n## Installation\n\n### Gymnasium\n\nPlease read the instruction [here](https://github.com/Farama-Foundation/Gymnasium).\n\n### Pygame\n\n- On OSX: See [here](https://www.pygame.org/wiki/MacCompile) for more details.\n\n      brew install sdl2 sdl2_image sdl2_mixer sdl2_ttf pkg-config\n      pip install pygame==2.5.2\n\n- On Ubuntu:\n\n      sudo apt-get -y install python-pygame\n      pip install pygame==2.5.2\n\n- Others: Please read the instruction [here](http://www.pygame.org/wiki/GettingStarted#Pygame%20Installation).\n\n### PyGame Learning Environment\n\n    git clone https://github.com/ntasfi/PyGame-Learning-Environment.git\n    cd PyGame-Learning-Environment/\n    pip install -e .\n\n## MinAtar\n\n    pip install minatar==1.0.15\n\n### Gym-games\n\n    pip install git+https://github.com/qlan3/gym-games.git\n\n## Example\n\nRun ``python test.py``.\n\n\n## Cite\n\nPlease use this bibtex to cite this repo:\n\n```\n@misc{gym-games,\n  author = {Lan, Qingfeng},\n  title = {Gym Compatible Games for Reinforcement Learning},\n  year = {2019},\n  publisher = {GitHub},\n  journal = {GitHub Repository},\n  howpublished = {\\url{https://github.com/qlan3/gym-games}}\n}\n```\n\n## References\n\n- [gym](https://github.com/openai/gym/)\n- [gym-ple](https://github.com/lusob/gym-ple)\n- [SRNN](https://github.com/VincentLiu3/SRNN)\n- [MinAtar](https://github.com/kenjyoung/MinAtar)\n- [Latent State Decoding](https://github.com/microsoft/StateDecoding)\n- [Gymnasium](https://github.com/Farama-Foundation/Gymnasium)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqlan3%2Fgym-games","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqlan3%2Fgym-games","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqlan3%2Fgym-games/lists"}