Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use phatpt/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use phatpt/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="phatpt/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from phatpt/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/phatpt/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://phatpt/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/phatpt/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.62 kB
- Xet hash:
- 4052e36da69e1dd7c4f3a4d2e46b5743d5b1a68c90bbed20337c1def842e8bc4
- Size of remote file:
- 2.62 kB
- SHA256:
- ff4334945852a5ef74073f3aefeb251dbef2072ff6ed9c46a6143c5f1f6816c6
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