Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use kenlui/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use kenlui/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="kenlui/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from kenlui/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.46 kB
-
https://huggingface.co/kenlui/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://kenlui/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/kenlui/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.46 kB
- Xet hash:
- 419b5eae8cace568b1ca44447ab84aeb768a91b759b751a52cbb983540f08622
- Size of remote file:
- 2.46 kB
- SHA256:
- 2a42174498d36053446ecad2a69f81eb77c129b51a7f23fca597b0fb3e87d3d3
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