Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use jamiet1139/lunar_lander_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use jamiet1139/lunar_lander_v1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jamiet1139/lunar_lander_v1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download first_try_with_ppo.zip from jamiet1139/lunar_lander_v1: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/jamiet1139/lunar_lander_v1/resolve/main/first_try_with_ppo.zip
- Command line
-
hf download hf://jamiet1139/lunar_lander_v1/first_try_with_ppo.zip
-
curl -L -o first_try_with_ppo.zip https://huggingface.co/jamiet1139/lunar_lander_v1/resolve/main/first_try_with_ppo.zip
147 kB
- Xet hash:
- 43eb68dd24e0644d61ce70805387ab7c9a186bc337ba5f6e2c4a879dbd654782
- Size of remote file:
- 147 kB
- SHA256:
- 76d54dcbb2bb09c15e9deaa4930e785d1006bfebccfb13275d0f9410880b8819
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