Flatland

Multi Agent Reinforcement Learning on Trains

Getting Started

Online Docs

The documentation for the latest code on the master branch is found at http://flatland-rl-docs.s3-website.eu-central-1.amazonaws.com/

Generate Docs

The docs have a lot more details about how to interact with this codebase.

TODO: Mohanty to add atleast a neat outline herefor the contents to the docs here

git clone git@gitlab.aicrowd.com:flatland/flatland.git
cd flatland
pip install -r requirements_dev.txt

• On, Linux and macOS

  make docs

• On, Windows

  python setup.py develop (or)
  python setup.py install
  python make_docs.py

Features

TODO

Installation

Stable Release

To install flatland, run this command in your terminal

pip install flatland-rl

This is the preferred method to install flatland, as it will always install the most recent stable release.

If you don’t have pip installed, this Python installation guide can guide you through the process.

From Sources

The sources for flatland can be downloaded from the Gitlab repo.

You can clone the public repository

$ git clone git@gitlab.aicrowd.com:flatland/flatland.git

Once you have a copy of the source, you can install it with

$ python setup.py install

Usage

To use flatland in a project

import flatland

flatland

TODO: explain the interface here

Module Dependencies

Authors

• Sharada Mohanty <mohanty@aicrowd.com>
• Giacomo Spigler <giacomo.spigler@gmail.com>
• Mattias Ljungström
• Jeremy Watson
• Erik Nygren <erik.nygren@sbb.ch>
• Adrian Egli <adrian.egli@sbb.ch>
• Vaibhav Agrawal <theinfamouswayne@gmail.com>
• Christian Eichenberger <christian.markus.eichenberger@sbb.ch>

<please fill yourself in>