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Download README.md from EmbodiedCity/Embodied-R: direct link, hf CLI and curl.
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https://huggingface.co/EmbodiedCity/Embodied-R/resolve/d837cd26041adbcd62e2585ce2dba7d6669fff4c/README.md
- Command line
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hf download hf://EmbodiedCity/Embodied-R@d837cd26041adbcd62e2585ce2dba7d6669fff4c/README.md
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curl -L -o README.md https://huggingface.co/EmbodiedCity/Embodied-R/resolve/d837cd26041adbcd62e2585ce2dba7d6669fff4c/README.md
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Embodied-R Model Weights
This repository contains the RL-trained weights of the model introduced in the paper:
[Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning].
For more details about the model and its implementation, please refer to the GitHub repository:
https://github.com/EmbodiedCity/Embodied-R.code.
Citation
If this work has contributed to your research, welcome to cite it:
@misc{zhao2025embodiedr,
title={Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning},
author={Baining Zhao and Ziyou Wang and Jianjie Fang and Chen Gao and Fanhang Man and Jinqiang Cui and Xin Wang and Xinlei Chen and Yong Li and Wenwu Zhu},
year={2025},
eprint={2504.12680},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2504.12680},
}