Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use rondahahda/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use rondahahda/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="rondahahda/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
PPO Agent playing LunarLander-v2
A trained PPO agent playing LunarLander-v2, made with the stable-baselines3 library.
Usage
from huggingface_sb3 import load_from_hub
from stable_baselines3 import PPO
checkpoint = load_from_hub("rondahahda/ppo-LunarLander-v2", "ppo-LunarLander-v2.zip")
model = PPO.load(checkpoint)
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Evaluation results
- mean_reward on LunarLander-v2self-reported274.47 +/- 19.84