Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Agneev/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Agneev/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Agneev/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from Agneev/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.38 kB
-
https://huggingface.co/Agneev/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://Agneev/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/Agneev/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.38 kB
- Xet hash:
- a6d36f76fd99256fcb0eacd5e00877fb612e8a800fb81c03e73a216d6b02fffb
- Size of remote file:
- 2.38 kB
- SHA256:
- 2ebd4c87ff2ff5fcf97fd0eec38e845aaa2291d74b16b88677c6d1ac487a3548
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