Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use chribeiro/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use chribeiro/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="chribeiro/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from chribeiro/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.47 kB
-
https://huggingface.co/chribeiro/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://chribeiro/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/chribeiro/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.47 kB
- Xet hash:
- 64e71a0f908406d87b19e6f37aa2aa5683b8fc810e3444c7dcafd0279c428471
- Size of remote file:
- 2.47 kB
- SHA256:
- 10d12dc3960a23f5946714fe8d2179bb5ef265920b7180b052e12b812df4b463
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