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- short_description: Rubric-Informed Selective Exploration for Open-Ended Reinfor
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  ---
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- # Nerfies
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- This is the repository that contains source code for the [Nerfies website](https://nerfies.github.io).
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- If you find Nerfies useful for your work please cite:
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- ```
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- @article{park2021nerfies
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- author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo},
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- title = {Nerfies: Deformable Neural Radiance Fields},
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- journal = {ICCV},
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- year = {2021},
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- }
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- ```
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- # Website License
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- <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ short_description: Rubric-Informed Selective Exploration
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  ---
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+ # RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning
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+ Official project page for **RISE-RL**.
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+ - **Paper:** https://arxiv.org/abs/2608.09123
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+ - **PDF:** https://arxiv.org/pdf/2608.09123
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+ - **Project Page:** https://huggingface.co/spaces/houkunkun/RISE-RL
 
 
 
 
 
 
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+
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+ ## Authors
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+
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+ Jinkun Hou, Zhuo Liu, Huimin Ren, Hongsheng Xin, Pan Zhou, Kun Zhan
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+
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+ ## Abstract
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+
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+ RISE-RL is a rubric-informed selective exploration method for open-ended reinforcement learning. It uses repeatedly missed rubric
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+ criteria to elicit privileged trajectories that are difficult to discover through unguided exploration alone.
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+ For the complete abstract and experimental results, see our paper:
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+ https://arxiv.org/abs/2608.09123
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{hou2026riserl,
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+ title = {RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning},
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+ author = {Hou, Jinkun and Liu, Zhuo and Ren, Huimin and Xin, Hongsheng and Zhou, Pan and Zhan, Kun},
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+ journal = {arXiv preprint arXiv:2608.09123},
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+ year = {2026}
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+ }