Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
ppo
mujoco
humanoid
adversarial-motion-priors
amp
character-animation
motion-capture
Eval Results (legacy)
Instructions to use Alopezcordero/AMP-HumanoidDirection-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Alopezcordero/AMP-HumanoidDirection-V0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Alopezcordero/AMP-HumanoidDirection-V0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81a520a88f005bf4c4069bc25edbe689fe8fe9555d160e24556cadf4d73b0d27
- Size of remote file:
- 35.9 kB
- SHA256:
- fa3c0c1581dedc6b0f387afa2ffaa718a2b3c5defde441623e9047f025e044b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.