Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use mindwrapped/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use mindwrapped/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="mindwrapped/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3ddae5e1c4fe4bea48a80a779419ec1e2a1f905e79e5e3c5dc72453dbf22631
- Size of remote file:
- 144 kB
- SHA256:
- 3a18cba386e84271c49282fe055714ae1850105bb19e55ed257f1a9d16471981
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