Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use MarcusVinicius21/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use MarcusVinicius21/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="MarcusVinicius21/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v3.zip from MarcusVinicius21/ppo-LunarLander-v3: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/MarcusVinicius21/ppo-LunarLander-v3/resolve/main/ppo-LunarLander-v3.zip
- Command line
-
hf download hf://MarcusVinicius21/ppo-LunarLander-v3/ppo-LunarLander-v3.zip
-
curl -L -o ppo-LunarLander-v3.zip https://huggingface.co/MarcusVinicius21/ppo-LunarLander-v3/resolve/main/ppo-LunarLander-v3.zip
150 kB
- Xet hash:
- beab91f4a7d02e7010eb3814249e69646670e47cba90bf0e53903f284d760669
- Size of remote file:
- 150 kB
- SHA256:
- 8cb926b57ee07fc431a275d27e000fa6db24269ef58dd0b30de8a0d8830ec2b3
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