Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
LunarLander-v2
ppo
Eval Results (legacy)
Instructions to use SnEhAh018/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SnEhAh018/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SnEhAh018/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the Stable-Baselines3 library as part of the Hugging Face Deep Reinforcement Learning Course Unit 1.
Evaluation Results
- Environment: LunarLander-v2
- Mean Reward: 267.98 +/- 20.57
- Certification Result: 247.41
from stable_baselines3 import ...
from huggingface_sb3 import load_from_hub
...
- Downloads last month
- 21
Evaluation results
- mean_reward on LunarLander-v2self-reported267.98 +/- 20.57