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        "author": "Alexander Shmakov",
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            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
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        "description": "## Codebase for the UCI multi agent reinforcement learning framework\n\nA framework for developing large multiplayer reinforcement learning agents that can play free-for-all games. Currently available games are:\n\n- Tron: A simple snake-like game where the goal is not to crash into the walls.\n- Blokus: A board game of controlling territory with various shaped blocks.\n- Tic Tac Toe: Generalization of tic tac toe to 2, 3, and 4 players.\n\n\n## Requirements\nThis library requires at least Python 3.6 in order to run correctly.\nPython 2.7 is not currently supported.\n\n\nBasic requirements are listed in the `requirements.txt` and can be installed from PyPi with\n`pip install -r requirements.txt`.\n\n## Install\nSimply run `pip install colosseumrl` in order to install the latest stable version from Pypi.\n\n## Important scripts\n`python3 -m colosseumrl.matchmaking.MatchmakingServer` launches the main matchmaking\nserver for allowing any number of agents to play against each other in a dynamic\nway. Run `python -m rlcompetition.matchmaking.MatchmakingServer -h` for\nmore information. \n\n`./colosseumrl/examples` contains a list of example scripts that will connect\nto a matchmaking server and launch an example agent.",
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