Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use glacierA/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use glacierA/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="glacierA/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a29efc846ce849f6715b37a3673247d40fd02e9f3afcfa1acb4094b7e5bdce5
- Size of remote file:
- 147 kB
- SHA256:
- c077bdac2c0e62ed9c4dc9f744f04e016274c3ccca03f8f32d29f7d66279d643
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