{ "info": { "author": "qlan3", "author_email": "qlan3@ualberta.ca", "bugtrack_url": null, "classifiers": [], "description": "# Gym Games\n\nThis is a gym compatible version of various games for reinforcenment learning.\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-v0\n - Breakout-MinAtar-v0\n - Freeway-MinAtar-v0\n - Seaquest-MinAtar-v0\n - Space_invaders-MinAtar-v0\n\n## Installation\n\n### Gym\n\nPlease read the instruction [here](https://github.com/openai/gym).\n\n### Pygame\n\n- On OSX:\n\n brew install sdl sdl_ttf sdl_image sdl_mixer portmidi\n pip install pygame\n\n- On Ubuntu:\n\n sudo apt-get -y install python-pygame\n pip install pygame\n\n- Others: Please read the instruction [here](http://www.pygame.org/wiki/GettingStarted#Pygame%20Installation).\n\n### PyGame Learning Environment\n\n pip install git+https://github.com/ntasfi/PyGame-Learning-Environment.git\n\n## MinAtar\n\n pip install git+https://github.com/kenjyoung/MinAtar.git\n\n### Gym-games\n\n - Install from source:\n\n pip install git+https://github.com/qlan3/gym-games.git\n\n - Install from PyPi:\n\n pip install gym-games\n\n## Example\n\nRun ``python test.py``.\n\n\n## Cite\n\nPlease use this bibtex to cite this repo:\n\n @misc{gym-games,\n author = {Qingfeng, Lan},\n title = {Gym Compatible Games for Reinforcenment Learning},\n year = {2019},\n publisher = {GitHub},\n journal = {GitHub Repository},\n howpublished = {\\url{https://github.com/qlan3/gym-games}}\n }\n\n## References\n\n- [gym](https://github.com/openai/gym/tree/master/)\n- [gym-ple](https://github.com/lusob/gym-ple)\n- [SRNN](https://github.com/VincentLiu3/SRNN)\n- [MinAtar](https://github.com/kenjyoung/MinAtar)\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/qlan3/gym-games", "keywords": "AI,Reinforcement Learning,Games,Pygame,MinAtar", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "gym-games", "package_url": "https://pypi.org/project/gym-games/", "platform": "", "project_url": "https://pypi.org/project/gym-games/", "project_urls": { "Homepage": "https://github.com/qlan3/gym-games" }, "release_url": "https://pypi.org/project/gym-games/1.0.3/", "requires_dist": [ "numpy (>=1.16.4)", "MinAtar (>=1.0.4)", "gym (>=0.13.0)", "setuptools (>=41.0.1)", "pygame (>=1.9.6)", "ple (>=0.0.1)" ], "requires_python": ">=3.5", "summary": "This is a gym version of various games for reinforcenment learning.", "version": "1.0.3" }, "last_serial": 5591986, "releases": { "1.0.2": [], "1.0.3": [ { "comment_text": "", "digests": { "md5": "3f1b6e1e39fda39a44d7a3f23779df9f", "sha256": "c263e688eb0983019e269b976be82412456474f6a5c971ec5d4ef1e00ccbaaf1" }, "downloads": -1, "filename": "gym_games-1.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "3f1b6e1e39fda39a44d7a3f23779df9f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 12111, "upload_time": "2019-07-27T05:55:03", "url": "https://files.pythonhosted.org/packages/46/47/4eb6bd70bdcfe2f8689d78bd95bdd458d40c2f5b5dc3c6668f49e1be5604/gym_games-1.0.3-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "ef4cd966828fe10061f9cdebb41e5597", "sha256": "480c515a1b11660c7cf58be045df8fa9fb911a9cb500f9a21cf2e68311757e45" }, "downloads": -1, "filename": "gym-games-1.0.3.tar.gz", "has_sig": false, "md5_digest": "ef4cd966828fe10061f9cdebb41e5597", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 4715, "upload_time": "2019-07-27T05:55:04", "url": "https://files.pythonhosted.org/packages/a8/d1/f4dc1b604641f649ed7b0ec4228e574812f4b42e546b733a05fcd78e2544/gym-games-1.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "3f1b6e1e39fda39a44d7a3f23779df9f", "sha256": "c263e688eb0983019e269b976be82412456474f6a5c971ec5d4ef1e00ccbaaf1" }, "downloads": -1, "filename": "gym_games-1.0.3-py3-none-any.whl", "has_sig": false, "md5_digest": "3f1b6e1e39fda39a44d7a3f23779df9f", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 12111, "upload_time": "2019-07-27T05:55:03", "url": "https://files.pythonhosted.org/packages/46/47/4eb6bd70bdcfe2f8689d78bd95bdd458d40c2f5b5dc3c6668f49e1be5604/gym_games-1.0.3-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "ef4cd966828fe10061f9cdebb41e5597", "sha256": "480c515a1b11660c7cf58be045df8fa9fb911a9cb500f9a21cf2e68311757e45" }, "downloads": -1, "filename": "gym-games-1.0.3.tar.gz", "has_sig": false, "md5_digest": "ef4cd966828fe10061f9cdebb41e5597", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 4715, "upload_time": "2019-07-27T05:55:04", "url": "https://files.pythonhosted.org/packages/a8/d1/f4dc1b604641f649ed7b0ec4228e574812f4b42e546b733a05fcd78e2544/gym-games-1.0.3.tar.gz" } ] }