Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use hellosara/ppo-LunarLander-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use hellosara/ppo-LunarLander-v3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hellosara/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
README.md exists but content is empty.
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Evaluation results
- mean_reward on LunarLander-v3self-reported262.16 +/- 22.42
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="hellosara/ppo-LunarLander-v3", filename="{MODEL FILENAME}.zip", )