Reinforcement Learning
stable-baselines3
PandaReach-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use lvtiendev/a2c-PandaReach-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use lvtiendev/a2c-PandaReach-V3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="lvtiendev/a2c-PandaReach-V3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from lvtiendev/a2c-PandaReach-V3: direct link, hf CLI and curl.
- Browser
- Download file 2.66 kB
-
https://huggingface.co/lvtiendev/a2c-PandaReach-V3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://lvtiendev/a2c-PandaReach-V3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/lvtiendev/a2c-PandaReach-V3/resolve/main/vec_normalize.pkl
2.66 kB
- Xet hash:
- 9173301b1a8dcb718e4386356e2b6a8b806831aeee259969c1ac933f98063cc7
- Size of remote file:
- 2.66 kB
- SHA256:
- 83ad4b4088ee0e5d126655d2ed6d24a0f19bd3ee5b2d8450247509a50406ecad
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