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RSL-RL
Reinforcement-learning tools for robotic locomotion training.
Robot learning frameworks
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smooth-humanoid-locomotion · zixuan417
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
Overview
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
Publisher purpose: [IROS 2025] Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
Inspect installation instructions, supported versions, examples and interfaces in the source. This directory does not claim the software has been installed or tested on your robot.
Project information
- Maintainer
- zixuan417
- Primary language
- Python
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2025-06-16
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Codebase Overview
- Acknowledgements
- Citation
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