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        "author": "Jon\u00e1\u0161 Kulh\u00e1nek",
        "author_email": "jonas.kulhanek@live.com",
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        "description": "# Gym wrapper for DeepMind Lab environments\nGym implementation of connector to Deepmind lab\n\n## Getting Started\nInstall the newest package by running:\n```\npip install gym_deepmindlab\n```\n\nIn your project:\n```\nimport gym\nimport gym_deepmindlab\n\nenv = gym.make('DeepmindLabSeekavoidArena01-v0')\n\n# Use the environment\nobservation = env.reset()\n```\n\n## Suppoted Environments\nThis is the list of supported environments:\n- DeepmindLabLtChasm-v0\n- DeepmindLabLtHallwaySlope-v0\n- DeepmindLabLtHorseshoeColor-v0\n- DeepmindLabLtSpaceBounceHard-v0\n- DeepmindLabNavMazeRandomGoal01-v0\n- DeepmindLabNavMazeRandomGoal02-v0\n- DeepmindLabNavMazeRandomGoal03-v0\n- DeepmindLabNavMazeStatic01-v0\n- DeepmindLabNavMazeStatic02-v0\n- DeepmindLabSeekavoidArena01-v0\n- DeepmindLabStairwayToMelon-v0\n\n## Arguments\nYou can specify the screen size when creating a new environment:\n```\nimport gym\nimport gym_deepmindlab\n\nenv = gym.make('DeepmindLabSeekavoidArena01-v0', width = 224, height = 224)\n\n# Use the environment\nobservation = env.reset()\n```\n\n## Thanks\nThanks to https://github.com/deepmind/lab for such a great work.\n\n\n",
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