Reinforcement Learning
stable-baselines3
MountainCar-v0
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/ars-MountainCar-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/ars-MountainCar-v0 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/ars-MountainCar-v0", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/ars-MountainCar-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.71 kB
-
https://huggingface.co/sb3/ars-MountainCar-v0/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/ars-MountainCar-v0/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/ars-MountainCar-v0/resolve/main/train_eval_metrics.zip
2.71 kB
- Xet hash:
- 429d4e90d3113ba9198046e72714542e79fdfef2a94e48fcd025138983325d45
- Size of remote file:
- 2.71 kB
- SHA256:
- d348b1d25701e0a6f820c236ace00bc58e288a00c2672e4f980d006ff36e7cc7
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