This simulation environment is part of the Airlift Challenge, a competition in which participants must design agents that can plan and execute an airlift operation. Quick decision-making is needed to rapidly adjust plans in the face of disruptions along the delivery routes. The decision-maker will also need to incorporate new cargo delivery requests that appear during the episode. The primary objective is to meet the specified deadlines, with a secondary goal of minimizing cost. Solutions can incorporate machine learning, optimization, path planning heuristics, or any other technique.
- To write your own solution: download the Starter Kit and follow the instructions in the README
- For more information about the competition and simulator: Documentation
- For submissions and to participate in the discussion board: see the competition platform on CodaLab
The airlift-challenge simulator package is designed to work with Python version 3.9.
You can install the latest version of the package directly from this repo by running the following command:
$ pip install git+https://github.com/airlift-challenge/airliftFor debugging purposes, you can also install the package from source:
$ git clone https://github.com/airlift-challenge/airlift
$ cd airlift
$ pip install -e .Run the demo to test that the installation works and view a simple scenario:
$ airlift-demoTo run the full test suite execute the following command from within the airlift source code folder:
pytest testsThe development team consists of:
- ccafeccafe
- Adis Delanovic
- Jill Platts
- Alexa Loy
- Andre Beckus
This competition and code-base was heavily influenced by the Flatland challenge, and incorporates some structure and code fragments from this competition. We are grateful to the companies and people that created this great open source environment.
Distribution Statement A: Approved for Public Release; Distribution Unlimited: Case Number: AFRL-2023-5590, CLEARED on 03 Nov 2023