https://github.com/apsdehal/ic3net-envs
Environments with IC3Net paper
https://github.com/apsdehal/ic3net-envs
Last synced: 8 months ago
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Environments with IC3Net paper
- Host: GitHub
- URL: https://github.com/apsdehal/ic3net-envs
- Owner: apsdehal
- License: mit
- Created: 2018-07-27T04:12:28.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-01-08T08:59:36.000Z (over 7 years ago)
- Last Synced: 2025-01-31T16:49:51.217Z (over 1 year ago)
- Language: Python
- Homepage: https://arxiv.org/abs/1812.09755
- Size: 17.6 KB
- Stars: 12
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# IC3Net Environments
This repository contains gym environments for tasks used in paper for IC3Net except starcraft. Namely, this repository contains:
- Traffic Junction Environment
- Predator Prey Environments
- Sanity check number pairs and levers environment will be added later.
## Cite
Please cite IC3Net paper, "Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks" (ICLR 2019 accepted) if you use these environments in your work:
```
@article{singh2018learning,
title={Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks},
author={Singh, Amanpreet and Jain, Tushar and Sukhbaatar, Sainbayar},
journal={arXiv preprint arXiv:1812.09755},
year={2018}
}
```
## Related
- IC3Net code is available at [IC3Net/IC3Net](https://github.com/IC3Net/IC3Net)
- `gym-starcraft` is available at [apsdehal/gym-starcraft](https://github.com/apsdehal/gym-starcraft)
## Running
Run `python setup.py develop` in the locally cloned repository.
Next, run `python example/random_agent.py` for a random agent playing with Traffic Junction environment.
Note that, you can use `--display` flag to see the actual environment being rendered on console. You might not see anything as it is action and execution are very fast in case of a random agent.
## License
Code for this project is available under MIT license.
## Authors
- Amanpreet Singh ([@apsdehal](https://github.com/apsdehal))
- Tushar Jain ([@tshrjn](https://github.com/tshrjn))