Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LinasKo/RL-lander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LinasKo/RL-lander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LinasKo/RL-lander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download a2c-1e6.zip from LinasKo/RL-lander: direct link, hf CLI and curl.
- Browser
- Download file 102 kB
-
https://huggingface.co/LinasKo/RL-lander/resolve/main/a2c-1e6.zip
- Command line
-
hf download hf://LinasKo/RL-lander/a2c-1e6.zip
-
curl -L -o a2c-1e6.zip https://huggingface.co/LinasKo/RL-lander/resolve/main/a2c-1e6.zip
102 kB
- Xet hash:
- ded8af0a11c4f86afcfe3da27fdb0b453ed9a7576904d00e6e54fe9789393361
- Size of remote file:
- 102 kB
- SHA256:
- f8ce0161387ed5c5f0965c6ac41d9d1fdee82d2e1ccc80af4c94c37271ba51d3
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