Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use sachaguer/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use sachaguer/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="sachaguer/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from sachaguer/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 154 kB
-
https://huggingface.co/sachaguer/ppo-LunarLander-v2/resolve/308b8f0a8a419eb00d7089e84c9cad8bbffd9c1c/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://sachaguer/ppo-LunarLander-v2@308b8f0a8a419eb00d7089e84c9cad8bbffd9c1c/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/sachaguer/ppo-LunarLander-v2/resolve/308b8f0a8a419eb00d7089e84c9cad8bbffd9c1c/ppo-LunarLander-v2.zip
154 kB
- Xet hash:
- bd9019d5f7be1b7ce531df21ba360b7680834baec4e4a64cd8f601991e4687cf
- Size of remote file:
- 154 kB
- SHA256:
- dc2a00155c0a6eb8e1bce96ef85bdf1309d16584b53c73c02e491a3c2635e679
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