Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sangioai/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sangioai/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sangioai/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v3.zip from sangioai/ppo-LunarLander-v3: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/sangioai/ppo-LunarLander-v3/resolve/main/ppo-LunarLander-v3.zip
- Command line
-
hf download hf://sangioai/ppo-LunarLander-v3/ppo-LunarLander-v3.zip
-
curl -L -o ppo-LunarLander-v3.zip https://huggingface.co/sangioai/ppo-LunarLander-v3/resolve/main/ppo-LunarLander-v3.zip
150 kB
- Xet hash:
- b25317237be63f1af0e57ab3eeb92deaf79ae5bda1b7c366bc6fc32b8420dd59
- Size of remote file:
- 150 kB
- SHA256:
- 4807b93127e88db51c4eb01887961dafe83d26750c4725f9772479c881b4371f
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