Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use threite/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use threite/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="threite/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from threite/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.05 kB
-
https://huggingface.co/threite/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://threite/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/threite/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
3.05 kB
- Xet hash:
- acc71e4b7f8e212f7d5aec34c431c6dbb05c8c858ff7161d2785195d127d1fa4
- Size of remote file:
- 3.05 kB
- SHA256:
- bc0be4309678dca4ef95af2096f5541d23a7f33827f2d1055bf072d2a9fc5369
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