Reinforcement Learning
stable-baselines3
LunarLanderContinuous-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sb3/a2c-LunarLanderContinuous-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sb3/a2c-LunarLanderContinuous-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sb3/a2c-LunarLanderContinuous-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vec_normalize.pkl from sb3/a2c-LunarLanderContinuous-v2: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/sb3/a2c-LunarLanderContinuous-v2/resolve/main/vec_normalize.pkl
- Command line
-
hf download hf://sb3/a2c-LunarLanderContinuous-v2/vec_normalize.pkl
-
curl -L -o vec_normalize.pkl https://huggingface.co/sb3/a2c-LunarLanderContinuous-v2/resolve/main/vec_normalize.pkl
4.6 kB
- Xet hash:
- 2525f85b9c92bbe6d97a531ea832ea3f28133b0f6a183e927ea1f6f37b0087e3
- Size of remote file:
- 4.6 kB
- SHA256:
- 274cd9b5d8d141119634a0a3d47dc4bb26c3036c663dd95f817509a0907578f0
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