2D, grid-based board games inspired by the orbital domain
2D environment can be viewed as an orbital plane with objects in circular orbits
See the wiki for more info: https://github.com/mpj15/spacegym-od2d/wiki
TODO
To install this package, run:
pip install -e .
For development of this package, we recommend using the conda environment defined in environment.yml
. To create and activate this environment, run:
conda env create -f environment.yml
conda activate orbit_defender2d
For developers, unit and integration tests are located in the tests/
directory and can be run with:
pytest -v
Note that test_game_server.py
can sometimes fail if too many processes are running due to slow responses between game servers and clients. It is recommended that tests be run seperately with the following two commands:
pytest . --ignore=tests/test_game_server.py # run all tests except game server
pytest tests/test_game_server.py # run game server tests
For more details, please see the Game Rules Wiki and access the User Guide.
- In a terminal window, navigate to your src folder inside the spacegym-od2d folder from the GitHub repository.
- Activate the orbit_defender2d environment by typing the following command:
conda activate orbit_defender2d
Next to your user ID in the terminal, it should now say orbit_defender2d instead of "base".
- Use python to start the game file that you are choosing to run. Please reference the User Guide for a comprehensive list of file names. The following command will run a Human v. AI game.
python koth_game_rollout_CLI.py
The King of the Hill Game is a balanced game of two players. Each player has a collection of satellites (referred to as "pieces" or "tokens") that they control. Satellites are seperated into categories of point-scoring tokens ("High Value Asset- HVA") and defensive/offensive tokens ("Patrol"). Each satellites can move about the board by expending fuel and can engage with satellites of the opposing agent. Each player also has a special a goal location, i.e. "hill", on which they can place their seeker to score points. The objective of the game is to score more points that your opponent. You can minimize the number of points scored by your opponent by attacking their pieces.
For comprehensive rule set, please see the Game Rules Wiki
The KOTH game consists of core game code and two interfaces for running the game. To see an example of how the core KOTH game is run (using random, yet valid, actions from each player), see core_random_game.py
. This can be executed as:
python src/orbit_defender2d/king_of_the_hill/examples/core_random_game.py
There is a human-playable interface to the game that uses a game server running in python that can talk to a game clients running a Unity-based user interface (under development, no link at this time). For an example of running a game using the game server (with random-valid actions and python game clients as stand-ins for the Unity clients), see server_random_game.py
. This can be run as:
python src/orbit_defender2d/king_of_the_hill/examples/server_random_game.py
There is also an AI playable that wraps the core KOTH game in a OpenAI Gym-like environment. To enable development of multi-agent RL algorithms we will be using a PettingZoo environment, which is also described in this paper. For an example of the PettingZoo-wrapped KOTH game, see pettingzoo_random_game.py
. This can be run as:
python src/orbit_defender2d/king_of_the_hill/examples/pettingzoo_random_game.py
The PettingZoo-wrapped game can be visualized based on a rendering function. For example, run
python src/orbit_defender2d/king_of_the_hill/examples/pettingzoo_random_rendered_game.py
~~> TODO: Zenodo DOI to be added upon making repo public
@inproceedings{allen2023spacegym,
title={SpaceGym: Discrete and Differential Games in Non-Cooperative Spa
ce Operations},
author={Allen, Ross E and Rachlin, Yaron and Ruprecht, Jessica and Loughran, Sean and Varey, Jacob and Viggh, Herbert},
booktitle={2023 IEEE Aerospace Conference},
pages={1--12},
year={2023},
organization={IEEE}
}
DISTRIBUTION STATEMENT A. Approved for public release. Distribution is unlimited.
This material is based upon work supported by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Under Secretary of Defense for Research and Engineering.
© 2022 Massachusetts Institute of Technology.
Subject to FAR52.227-11 Patent Rights - Ownership by the contractor (May 2014)
SPDX-License-Identifier: MIT
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