Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use efawe/TESTppo-Lunar_lander_attempt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use efawe/TESTppo-Lunar_lander_attempt2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="efawe/TESTppo-Lunar_lander_attempt2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41a478e7f2d08091c468d7d2730ca3c27bbda6f3e512e59843f477274d0a30f3
- Size of remote file:
- 144 kB
- SHA256:
- 063a70fec41313af7d02998d6116b0701b6c4464765600f00fc8138a67f619ef
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