Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use S3S3/a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use S3S3/a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="S3S3/a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from S3S3/a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.6 kB
-
https://huggingface.co/S3S3/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://S3S3/a2c-PandaReachDense-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/S3S3/a2c-PandaReachDense-v2/resolve/main/vec_normalize.pkl
2.6 kB
- Xet hash:
- 38909794b1554cdd89f7f3c2ec51ed305aa8f3648254527f70a3bea0e607e8c3
- Size of remote file:
- 2.6 kB
- SHA256:
- 4d4c15b90d86af5d5d08c01a0aa13424e8b216dd20f90a88acce0929abbd49e5
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