Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mohitpg/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mohitpg/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mohitpg/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from mohitpg/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.65 kB
-
https://huggingface.co/mohitpg/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://mohitpg/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/mohitpg/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.65 kB
- Xet hash:
- 1b43371807f015a31d02f55b13997686f16a1a43d733a2f5b4f988efd34b23e9
- Size of remote file:
- 2.65 kB
- SHA256:
- 87d25c95f5e42d294eab0bc8a0cad2caca98e2732ca60af20eeb9f753d0f7fa7
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