Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Ricardo54321/A2C-PandaReach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Ricardo54321/A2C-PandaReach with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Ricardo54321/A2C-PandaReach", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Ricardo54321/A2C-PandaReach: direct link, hf CLI and curl.
- Browser
- Download file 2.65 kB
-
https://huggingface.co/Ricardo54321/A2C-PandaReach/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Ricardo54321/A2C-PandaReach/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Ricardo54321/A2C-PandaReach/resolve/main/vec_normalize.pkl
2.65 kB
- Xet hash:
- 474de908a9ecf9c2639cc2edba3c0002c3308574f587093b635ea5b95bd23bef
- Size of remote file:
- 2.65 kB
- SHA256:
- 1b4c047870de852b15a3d3d521689dd7c22561f489c0ec4d0ddef5681add30a3
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