Reinforcement Learning
stable-baselines3
PandaSlide-v1
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/tqc-PandaSlide-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/tqc-PandaSlide-v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/tqc-PandaSlide-v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download train_eval_metrics.zip from sb3/tqc-PandaSlide-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.39 MB
-
https://huggingface.co/sb3/tqc-PandaSlide-v1/resolve/refs%2Fpr%2F1/train_eval_metrics.zip
- Command line
-
hf download hf://sb3/tqc-PandaSlide-v1@refs/pr/1/train_eval_metrics.zip
-
curl -L -o train_eval_metrics.zip https://huggingface.co/sb3/tqc-PandaSlide-v1/resolve/refs%2Fpr%2F1/train_eval_metrics.zip
1.39 MB
- Xet hash:
- 0e1c99c55c4807ab999cb2b2393641fd2865e2913bc70b0df2d9c3e5f9c0fab1
- Size of remote file:
- 1.39 MB
- SHA256:
- e6a509075206f073c81cd949b06c79b8533ae09e94cd3ee1eb1a83db3e0e1044
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