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}
}
@inproceedings{
mysore2022multicritic,
title = {Multi-Critic Actor Learning: Teaching {RL} Policies to Act with Style},
author = {Siddharth Mysore and George Cheng and Yunqi Zhao and Kate Saenko and Meng Wu},
booktitle = {International Conference on Learning Representations},
year = {2022},
url = {https://openreview.net/forum?id=rJvY_5OzoI}
}
@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},
}
1 maintainer
Metadata
1 maintainer
Release files for light-loco-parkour 0.0.29
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| light_loco_parkour-0.0.29.tar.gz | 19.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| light_loco_parkour-0.0.29-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.3 kB
Release files / light_loco_parkour-0.0.29.tar.gz
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