Reinforcement Learning
stable-baselines3
robotics
mujoco
locomotion
unitree
go2
quadruped
sac
strands-robots
Eval Results (legacy)
Instructions to use cagataydev/sac-unitree-go2-mujoco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cagataydev/sac-unitree-go2-mujoco with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cagataydev/sac-unitree-go2-mujoco", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit History
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SAC Go2 walking policy - 1.74M steps, 21m forward distance
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