Instructions to use Srikarraod/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Srikarraod/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Srikarraod/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
ppo-LunarLander-v2
This model is a trained PPO agent playing LunarLander-v2 using the stable-baselines3 library. It was trained as part of the Hugging Face Deep Reinforcement Learning Course.
Course Assignment Info
- Course Unit: Unit 1
- Environment:
LunarLander-v2 - Library:
stable-baselines3 - Evaluation Reward:
280.50 +/- 12.30
Usage
# Model created for Hugging Face Deep RL Course Certification
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Evaluation results
- mean_reward on LunarLander-v2self-reported280.50 +/- 12.30