Hi @Red-Pheonix 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv (https://arxiv.org/abs/2609.01676) 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://arxiv.org/abs/2609.01676
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
Would you like to host the pre-trained controllers (DQN and PressLight) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier and link them to the paper page.
If you're interested, here is a guide for uploading models: https://huggingface.co/docs/hub/models-uploading.
If the controllers are custom PyTorch models, you can use the PyTorchModelHubMixin class, which adds from_pretrained and push_to_hub to your model, enabling easy uploading and downloading. Alternatively, you can directly upload the checkpoints via the UI or use hf_hub_download.
After uploading, we can link the models to the paper page (see here) so people can discover them. You can also build a demo on Spaces with ZeroGPU for limited free GPU compute.
Let me know if you're interested or need any guidance!
Kind regards,
Niels
Hi @Red-Pheonix 馃
I'm Niels and work as part of the open-source team at Hugging Face. I discovered your work on Arxiv (https://arxiv.org/abs/2609.01676) 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://arxiv.org/abs/2609.01676
The paper page lets people discuss about your paper and lets them find artifacts about it (your models for instance), you can also claim the paper as yours which will show up on your public profile at HF, add Github and project page URLs.
Would you like to host the pre-trained controllers (DQN and PressLight) on https://huggingface.co/models?
Hosting on Hugging Face will give you more visibility and enable better discoverability. We can add tags in the model cards so that people find the models easier and link them to the paper page.
If you're interested, here is a guide for uploading models: https://huggingface.co/docs/hub/models-uploading.
If the controllers are custom PyTorch models, you can use the PyTorchModelHubMixin class, which adds
from_pretrainedandpush_to_hubto your model, enabling easy uploading and downloading. Alternatively, you can directly upload the checkpoints via the UI or use hf_hub_download.After uploading, we can link the models to the paper page (see here) so people can discover them. You can also build a demo on Spaces with ZeroGPU for limited free GPU compute.
Let me know if you're interested or need any guidance!
Kind regards,
Niels