Instructions to use naveenalavilli/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use naveenalavilli/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="naveenalavilli/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO LunarLander-v2
Trained from scratch in the Hugging Face Unit 1 notebook with AI assistance. Training seed: 42. Steps: 1015808. Evaluation: 20 deterministic episodes, evaluation environment seed 2026. Course score (mean minus standard deviation): 215.72.
Load
Use the dependencies in requirements.txt, then:
from stable_baselines3 import PPO
model = PPO.load("ppo-LunarLander-v2.zip", device="cpu")
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Evaluation results
- mean_reward on LunarLander-v2self-reported259.72 +/- 44.00