Reinforcement Learning
stable-baselines3
Humanoid-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jren123/sac-humanoid-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jren123/sac-humanoid-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jren123/sac-humanoid-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
SAC Agent playing Humanoid-v4
This is a trained model of a SAC agent playing Humanoid-v4 using the stable-baselines3 library.
Usage (with Stable-baselines3)
TODO: Add your code
from stable_baselines3 import SAC
from huggingface_sb3 import load_from_hub
checkpoint = load_from_hub(
repo_id="jren123/sac-humanoid-v4",
filename="SAC-Humanoid-v4.zip",
)
model = SAC.load(checkpoint)
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Evaluation results
- mean_reward on Humanoid-v4self-reported5409.73 +/- 43.39