Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use djbob/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use djbob/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="djbob/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from djbob/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.66 kB
-
https://huggingface.co/djbob/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://djbob/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/djbob/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.66 kB
- Xet hash:
- e6f62d25fa802f21936efa1b0ecb26400ca4a329251a7275e2346518d6a7ff8c
- Size of remote file:
- 2.66 kB
- SHA256:
- 69f3c0da4fb7e7fa3eb63a126312a16e74b270524debe967472e0fd50c86bc57
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