Reinforcement Learning
stable-baselines3
English
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use prashanthgowni/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use prashanthgowni/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="prashanthgowni/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c5855e2
Update README.md
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README.md
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@@ -28,8 +28,6 @@ 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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```python
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from stable_baselines3 import PPO
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except KeyboardInterrupt:
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pass
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```
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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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```python
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from stable_baselines3 import PPO
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except KeyboardInterrupt:
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pass
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```
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# Conclusion
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The above steps ensure that the traind Agent is downloaded.
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You may need to download and install required libraries and packages specific to your operating system to resume training from the providied checkpoint and fine tune the Agent further.
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