Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MathieuGALINIER/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MathieuGALINIER/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MathieuGALINIER/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from MathieuGALINIER/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.71 kB
-
https://huggingface.co/MathieuGALINIER/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://MathieuGALINIER/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/MathieuGALINIER/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.71 kB
- Xet hash:
- 57de69eded65cfb3020982510b08ffc0095cfb166f81036cf8b404b0a10ee35d
- Size of remote file:
- 2.71 kB
- SHA256:
- bbd7e02dd89e6af4b83441589a3c2281428497fbaa6223d63901a7050928c6d2
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