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 ppo-1e6.zip from LinasKo/RL-lander: direct link, hf CLI and curl.
- Browser
- Download file 148 kB
-
https://huggingface.co/LinasKo/RL-lander/resolve/main/ppo-1e6.zip
- Command line
-
hf download hf://LinasKo/RL-lander/ppo-1e6.zip
-
curl -L -o ppo-1e6.zip https://huggingface.co/LinasKo/RL-lander/resolve/main/ppo-1e6.zip
148 kB
- Xet hash:
- f0cb5025e6f45d82c7748930afd4c054bd0168919fc18d8934f6f88deda40be8
- Size of remote file:
- 148 kB
- SHA256:
- 3269530fd36eada4a522b7f30bef5935c9f19864cd56895e09d6578e41237e45
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