Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use feratur/LunarLander-v2-PPO-MlpPolicy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use feratur/LunarLander-v2-PPO-MlpPolicy with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="feratur/LunarLander-v2-PPO-MlpPolicy", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
| {"mean_reward": 269.02629723361133, "std_reward": 14.529501653456265, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-03-24T22:54:26.133170"} |