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:
- a97fe64a6dccf0b32ffe9b326894d08e2dd7552222bbb082595033d34f1837bf
- Size of remote file:
- 255 kB
- SHA256:
- b704664cd4acaa0090b6d00fa655ff11e40255ef044ab962c15222072da2e433
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