Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use saintzeno/PPO-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use saintzeno/PPO-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="saintzeno/PPO-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download PPO-LunarLander-v2.zip from saintzeno/PPO-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/saintzeno/PPO-LunarLander-v2/resolve/main/PPO-LunarLander-v2.zip
- Command line
-
hf download hf://saintzeno/PPO-LunarLander-v2/PPO-LunarLander-v2.zip
-
curl -L -o PPO-LunarLander-v2.zip https://huggingface.co/saintzeno/PPO-LunarLander-v2/resolve/main/PPO-LunarLander-v2.zip
147 kB
- Size of remote file:
- 147 kB
- SHA256:
- 7f38abfd54e3dfa963740df626a6d0a53cbbf1e558746a350d7aab72dab37527
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