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greenlands

This repo contains the code for greenlands, a platform that can be used to run games between AI agents and human players in Minecraft, and collect metrics throughout the games.

The code in this repo is almost exactly the code that was used for the platform used to collect human evaluation data for the IGLU 2022 competition, and while useful, the goal for it is to be a reference implementation that you can check if you're interested in building something similar, or just want to see how things work.

NOTE: The code in this repo is provided as-is in the hopes that it can be useful to the open source community. However, it is not actively maintained right now. But PRs are welcome, and we'll try to respond to issues as soon as we can.

We're still in the process of cleaning up the documentation (and this README), but the code of the platform is complete. The existing documentation can be found here, and it should give you an idea of the architecture and functionality of the different components.

Here you can see an example of a human giving instructions to an agent and how said agent attempts to fulfill the human's requests (see full video here).

3452346.webm

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

References

The greenwolds was inspired as a playground for human in the loop evaluation for the competition IGLU:Interactive Grounded Language Understanding in a Collaborative Environment, which is described in the following papers:

@inproceedings{kiseleva2022interactive,
  title={Interactive grounded language understanding in a collaborative environment: Iglu 2021},
  author={Kiseleva, Julia and Li, Ziming and Aliannejadi, Mohammad and Mohanty, Shrestha and ter Hoeve, Maartje and Burtsev, Mikhail and Skrynnik, Alexey and Zholus, Artem and Panov, Aleksandr and Srinet, Kavya and others},
  booktitle={NeurIPS 2021 Competitions and Demonstrations Track},
  pages={146--161},
  year={2022},
  organization={PMLR}
}
@article{kiseleva2022iglu,
  title={Iglu 2022: Interactive grounded language understanding in a collaborative environment at neurips 2022},
  author={Kiseleva, Julia and Skrynnik, Alexey and Zholus, Artem and Mohanty, Shrestha and Arabzadeh, Negar and C{\^o}t{\'e}, Marc-Alexandre and Aliannejadi, Mohammad and Teruel, Milagro and Li, Ziming and Burtsev, Mikhail and others},
  journal={arXiv preprint arXiv:2205.13771},
  year={2022}
}
@article{zholus2022iglu,
  title={IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents},
  author={Zholus, Artem and Skrynnik, Alexey and Mohanty, Shrestha and Volovikova, Zoya and Kiseleva, Julia and Szlam, Artur and Cot{\'e}, Marc-Alexandre and Panov, Aleksandr I},
  journal={arXiv preprint arXiv:2206.00142},
  year={2022}
}

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Platform to run interactive Reinforcement Learning agents in a Minecraft Server

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