Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MattStammers/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MattStammers/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MattStammers/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from MattStammers/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/MattStammers/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://MattStammers/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/MattStammers/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.62 kB
- Xet hash:
- c439adf91c6038c8d0797e7a36912eb92e697b3e2f8ef8d3958ed55d1d2bdd7b
- Size of remote file:
- 2.62 kB
- SHA256:
- 20a9241ff290a95cae8228fb6e93633e677b3e2f8884086e1afa0ccee4af7fc5
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