Multi Agent Reinforcement Learning on Trains
Flatland is a open-source toolkit for developing and comparing Multi Agent Reinforcement Learning algorithms in little (or ridiculously large!) gridworlds.
The official documentation contains full details about the environment and problem statement
Flatland is tested with Python 3.6 and 3.7 on modern versions of macOS, Linux and Windows. You may encounter problems with graphical rendering if you use WSL. Your contribution is welcome if you can help with this!
This library was developed specifically for the AIcrowd Flatland challenges in which we strongly encourage you to take part in!
Install Anaconda and create a new conda environment:
$ conda create python=3.6 --name flatland-rl $ conda activate flatland-rl
Install Flatland from pip:
$ pip install flatland-rl
This is the preferred method to install Flatland, as it will always install the most recent stable release.
The Flatland code source is available from AIcrowd gitlab.
Clone the public repository:
$ git clone email@example.com:flatland/flatland.git
Once you have a copy of the source, install it with:
$ python setup.py install
Test that the installation works:
You can also run the full test suite:
python setup.py test
Please follow the Contribution Guidelines for more details on how you can successfully contribute to the project. We enthusiastically look forward to your contributions!
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