Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AndrewL088/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AndrewL088/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AndrewL088/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from AndrewL088/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/AndrewL088/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://AndrewL088/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/AndrewL088/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.62 kB
- Xet hash:
- 9022526962c9c54f0aa46167b3f8acbfd0dd734439cfb33b87303ae2495a2bff
- Size of remote file:
- 2.62 kB
- SHA256:
- 79b23592f0fa56d2dd30693d47023d0230eb67b876f2552892491cc279c6bb7b
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