This repository contains the code for greenlands
, a platform that enables
gameplay between AI agents and human players in Minecraft, as well as the
collection of game metrics.
The code is essentially the same as what was used to gather human evaluation data for the IGLU 2022 competition. It is intended to serve as a reference for anyone interested in developing a similar system or for those curious about the implementation details.
NOTE: The code is provided "as-is" with the hope that it will be useful for the open-source community. It's not under active development, but pull requests are welcome, and we'll address issues when possible.
The documentation can be found here, and (while not exhaustive) should give you an idea of the architecture and functionality of the different components.
For an example of a human interacting with an AI agent, where the agent acts on the human's instructions, you can view the full video here.
3452346.webm
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.
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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}
}