papers.bib

---
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@inproceedings{huagensim2,
  abbr={CoRL 2024},
  title={GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs},
  author={Hua, Pu and Liu, Minghuan and Macaluso, Annabella and Lin, Yunfeng and Zhang, Weinan and Xu, Huazhe and Wang, Lirui},
  booktitle={8th Annual Conference on Robot Learning},
  year={2024},
  month={September},
  url={https://openreview.net/forum?id=5u9l6U61S7},
  arxiv={2410.03645},
  website={https://gensim2.github.io/},
  code={https://github.com/GenSim2/gensim2},
  selected={true}
}
@inproceedings{hua2022simple,
  abbr={ICLR 2023},
  title={Simple Emergent Action Representations from Multi-Task Policy Training},
  author={Hua, Pu and Chen, Yubei and Xu, Huazhe},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2023},
  month={January},
  url={https://openreview.net/forum?id=NUl0ylt7SM},
  arxiv={2210.09566},
  website={https://sites.google.com/view/emergent-action-representation/},
  code={https://github.com/piao-0429/EAR},
  selected={true}
}


@article{xu2023drm,
  abbr={ICLR 2024},
  award={Spotlight},
  title={DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization},
  author={Xu*, Guowei and Zheng*, Ruijie and Liang*, Yongyuan and Wang, Xiyao and Yuan, Zhecheng and Ji, Tianying and Luo, Yu and Liu, Xiaoyu and Yuan, Jiaxin and Hua, Pu and others},
  journal={arXiv preprint arXiv:2310.19668},
  year={2023},
  month={October},
  url={https://arxiv.org/abs/2310.19668},
  arxiv={2310.19668},
  website={https://xugw-kevin.github.io/drm/},
  code={https://github.com/XuGW-Kevin/DrM}
}


@inproceedings{yuan2023rl,
  abbr={NeurIPS 2023},
  title={RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization},
  author={Yuan*, Zhecheng and Yang*, Sizhe and Hua, Pu and Chang, Can and Hu, Kaizhe and Xu, Huazhe},
  booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
  year={2023},
  month={September},
  url={https://openreview.net/forum?id=RwNIqaNOgd},
  arxiv={2307.10224},
  website={https://gemcollector.github.io/RL-ViGen/},
  code={https://github.com/gemcollector/RL-ViGen}
}