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Light Loco Parkour - (wip)

Implementation of Light Loco Parkour, Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation, out of Light Origins Labs

Citations

@article{chen2026light,
    title   = {Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation},
    author  = {Chen, Hongming and Li, Zhuoran and Wang, Hongxi and Hu, Jiangpeng and Li, Ziliang and Liu, Peize and Zhao, QingRui and Liu, Xuhao and Pan, Liang and Lyu, Ximin and others},
    journal = {arXiv preprint arXiv:2608.02653},
    year    = {2026}
}
@article{zhao2025knowledge,
    author  = {Zhao, Rui and Fan, Yuze and Li, Yun and Zhang, Dong and Gao, Fei and Gao, Zhenhai and Yang, Zhengcai},
    title   = {Knowledge Distillation-Enhanced Behavior Transformer for Decision-Making of Autonomous Driving},
    journal = {Sensors},
    year    = {2025},
    volume  = {25},
    number  = {1},
    pages   = {191},
    doi     = {10.3390/s25010191},
    url     = {https://www.mdpi.com/1424-8220/25/1/191}
}
@inproceedings{Huang2025TheGI,
    title   = {The GAN is dead; long live the GAN! A Modern GAN Baseline},
    author  = {Yiwen Huang and Aaron Gokaslan and Volodymyr Kuleshov and James Tompkin},
    year    = {2025},
    url     = {https://api.semanticscholar.org/CorpusID:275405495}
}
@misc{schwarzer2021dataefficientreinforcementlearningselfpredictive,
      title={Data-Efficient Reinforcement Learning with Self-Predictive Representations},
      author={Max Schwarzer and Ankesh Anand and Rishab Goel and R Devon Hjelm and Aaron Courville and Philip Bachman},
      year={2021},
      eprint={2007.05929},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2007.05929},
}
@misc{teoh2026nextlatentpredictiontransformerslearn,
      title={Next-Latent Prediction Transformers Learn Compact World Models},
      author={Jayden Teoh and Manan Tomar and Kwangjun Ahn and Edward S. Hu and Tim Pearce and Pratyusha Sharma and Akshay Krishnamurthy and Riashat Islam and Alex Lamb and John Langford},
      year={2026},
      eprint={2511.05963},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2511.05963},
}

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