Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use vicha-w/ppo-LunarLander-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use vicha-w/ppo-LunarLander-testing with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="vicha-w/ppo-LunarLander-testing", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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This is a trained model of a **PPO** agent playing **LunarLander-v2**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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## Usage (with Stable-baselines3)
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TODO: Add your code
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This is a trained model of a **PPO** agent playing **LunarLander-v2**
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using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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The hands-on tutorial for this model from Hugging Face is available at
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[https://huggingface.co/learn/deep-rl-course/unit1/hands-on](https://huggingface.co/learn/deep-rl-course/unit1/hands-on)
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## Usage (with Stable-baselines3)
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TODO: Add your code
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