Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use stochastic/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use stochastic/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="stochastic/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download second_rl_ppo_model.zip from stochastic/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 144 kB
-
https://huggingface.co/stochastic/ppo-LunarLander-v2/resolve/main/second_rl_ppo_model.zip
- Command line
-
hf download hf://stochastic/ppo-LunarLander-v2/second_rl_ppo_model.zip
-
curl -L -o second_rl_ppo_model.zip https://huggingface.co/stochastic/ppo-LunarLander-v2/resolve/main/second_rl_ppo_model.zip
144 kB
- Xet hash:
- 5749fac7937bd46df8d6748556bb102f93a3e890a536cf95fe55084025b40149
- Size of remote file:
- 144 kB
- SHA256:
- b6c20572a5f5dbf1ca0e371638a4e7705c92d8f15fe41778fc486b0615552f65
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