Reinforcement Learning
stable-baselines3
Hopper-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/trpo-Hopper-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/trpo-Hopper-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/trpo-Hopper-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/trpo-Hopper-v3: direct link, hf CLI and curl.
- Browser
- Download file 65.3 kB
-
https://huggingface.co/sb3/trpo-Hopper-v3/resolve/main/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/trpo-Hopper-v3/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/trpo-Hopper-v3/resolve/main/train_eval_metrics.zip
65.3 kB
- Xet hash:
- 40bd63e2349da2e6b9f37a01cb4dd403a9a724840f71e798700a44911e40002f
- Size of remote file:
- 65.3 kB
- SHA256:
- cfada781ab3db7f8682cd166fc6d94ce2938ac40d73cbb3625dd83b8e1b6e95a
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