semvec/pypi-packages huggingface dataset:
colosseumrl 1.1.0
UC Irvine multi-agent reinforcement learning framework

## Codebase for the UCI multi agent reinforcement learning framework

A framework for developing large multiplayer reinforcement learning agents that can play free-for-all games. Currently available games are:

- Tron: A simple snake-like game where the goal is not to crash into the walls.
- Blokus: A board game of controlling territory with various shaped blocks.
- Tic Tac Toe: Generalization of tic tac toe to 2, 3, and 4 players.


## Requirements
This library requires at least Python 3.6 in order to run correctly.
Python 2.7 is not currently supported.


Basic requirements are listed in the `requirements.txt` and can be installed from PyPi with
`pip install -r requirements.txt`.

## Install
Simply run `pip install colosseumrl` in order to install the latest stable version from Pypi.

## Important scripts
`python3 -m colosseumrl.matchmaking.MatchmakingServer` launches the main matchmaking
server for allowing any number of agents to play against each other in a dynamic
way. Run `python -m rlcompetition.matchmaking.MatchmakingServer -h` for
more information. 

`./colosseumrl/examples` contains a list of example scripts that will connect
to a matchmaking server and launch an example agent.