Hi @KaleabTessera 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page (https://huggingface.co/papers/2606.08340) lets people discuss your paper and find related artifacts like your models and datasets. You can also claim the paper as yours, which will show up on your public profile at HF, and add your Github and project page URLs.
I saw on your GitHub repository that the code for ALEM is "coming soon." It'd be great to make the environment/benchmark and the trained MARL checkpoints available on the 🤗 hub to improve their visibility and make them easily accessible to the community.
Uploading models
For the trained MARL agents, you can host them on https://huggingface.co/models. See here for a guide: https://huggingface.co/docs/hub/models-uploading.
We encourage researchers to push each model checkpoint to a separate model repository so that download stats and metadata tags work effectively. We can then link these checkpoints directly to the paper page.
Uploading dataset/benchmark
It would also be awesome to make the ALEM benchmark or any associated data trajectories available as a dataset on 🤗, so that people can easily load it:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/your-dataset")See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, the dataset viewer allows people to quickly explore the data structures in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗
Hi @KaleabTessera 🤗
Niels here from the open-source team at Hugging Face. I discovered your work on Arxiv and was wondering whether you would like to submit it to hf.co/papers to improve its discoverability. If you are one of the authors, you can submit it at https://huggingface.co/papers/submit.
The paper page (https://huggingface.co/papers/2606.08340) lets people discuss your paper and find related artifacts like your models and datasets. You can also claim the paper as yours, which will show up on your public profile at HF, and add your Github and project page URLs.
I saw on your GitHub repository that the code for ALEM is "coming soon." It'd be great to make the environment/benchmark and the trained MARL checkpoints available on the 🤗 hub to improve their visibility and make them easily accessible to the community.
Uploading models
For the trained MARL agents, you can host them on https://huggingface.co/models. See here for a guide: https://huggingface.co/docs/hub/models-uploading.
We encourage researchers to push each model checkpoint to a separate model repository so that download stats and metadata tags work effectively. We can then link these checkpoints directly to the paper page.
Uploading dataset/benchmark
It would also be awesome to make the ALEM benchmark or any associated data trajectories available as a dataset on 🤗, so that people can easily load it:
See here for a guide: https://huggingface.co/docs/datasets/loading.
Besides that, the dataset viewer allows people to quickly explore the data structures in the browser.
Let me know if you're interested or need any help regarding this!
Cheers,
Niels
ML Engineer @ HF 🤗