Reinforcement Learning
stable-baselines3
PandaReachDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AE1999/a2c-PandaReachDense-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AE1999/a2c-PandaReachDense-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AE1999/a2c-PandaReachDense-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from AE1999/a2c-PandaReachDense-v3: direct link, hf CLI and curl.
- Browser
- Download file 2.62 kB
-
https://huggingface.co/AE1999/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://AE1999/a2c-PandaReachDense-v3/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/AE1999/a2c-PandaReachDense-v3/resolve/main/vec_normalize.pkl
2.62 kB
- Xet hash:
- e22b1c200d33db4ce8636cb73a440268f28b79261cf9553a0d5827b52daa9f27
- Size of remote file:
- 2.62 kB
- SHA256:
- 4123be2f46ff5dc5413f0f591d072fea3b705935ab91c317875546d7443e028f
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