Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use amarmol/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use amarmol/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="amarmol/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from amarmol/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/amarmol/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
- Command line
-
hf download hf://amarmol/a2c-PandaReachDense-v2@refs/pr/1/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/amarmol/a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
3.06 kB
- Xet hash:
- 3c8d37a3342ed3def933a4d66540aa0f9514060898e57fdd8a7c7faa8e2c9803
- Size of remote file:
- 3.06 kB
- SHA256:
- de0a6d47c07e8369b7029ca679384afad1962419ab89892a70fcfdb1210792a5
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