Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use carpit680/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use carpit680/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="carpit680/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96d28a34f2cb1af3488b1d2eea11d002cadea05b2ea023d4a19817b3a52d1a4f
- Size of remote file:
- 148 kB
- SHA256:
- da1e1fc86cd716a69928ac94a9007595f12dd43ddb96a5c2b7a6be1f5a2385db
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