Reinforcement Learning
stable-baselines3
PandaReachDense-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pneubauer/basic-a2c-PandaReachDense-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pneubauer/basic-a2c-PandaReachDense-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pneubauer/basic-a2c-PandaReachDense-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from pneubauer/basic-a2c-PandaReachDense-v2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/pneubauer/basic-a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
- Command line
-
hf download hf://pneubauer/basic-a2c-PandaReachDense-v2@refs/pr/1/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/pneubauer/basic-a2c-PandaReachDense-v2/resolve/refs%2Fpr%2F1/vec_normalize.pkl
3.06 kB
- Xet hash:
- f04111d363d4674a2d3225c4b1978a148d18789b9bf8e8299d6c238fb236c5b6
- Size of remote file:
- 3.06 kB
- SHA256:
- 637ff43e9abbdb2a224860f964c76dee7e8c54bc107c9b3a487fbf7c8cfa0445
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