Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use letfd/test-lunar-lander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use letfd/test-lunar-lander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="letfd/test-lunar-lander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download test_lander.zip from letfd/test-lunar-lander: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/letfd/test-lunar-lander/resolve/main/test_lander.zip
- Command line
-
hf download hf://letfd/test-lunar-lander/test_lander.zip
-
curl -L -o test_lander.zip https://huggingface.co/letfd/test-lunar-lander/resolve/main/test_lander.zip
147 kB
- Xet hash:
- 88ca3c045a0891a2171e4a61d0c7506352593d7e738132c0f15df585d3737725
- Size of remote file:
- 147 kB
- SHA256:
- 84a9a7b8d61d3a985b5e5e3d3d5201ea5ab327b8bfa076cf89f807dc9d8b4c71
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