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:
- b28a156e5e67f0ef840eb163a1c0cf5390df8d7ef20bda6d0753c7851f42ad1e
- Size of remote file:
- 219 kB
- SHA256:
- a65c8569b0c454dbc512d278c150723b587c3fe0d07e79787d593f2dcfcbb604
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