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@@ -26,9 +26,6 @@ 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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  ## **Metrics**
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- | Metric | Value | Std |
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- |---------------|------------|------|
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- | mean_reward | 370.25 | 8.94 |
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  > The trained PPO agent achieves a mean reward of *370.24* ± *8.90* on **LunarLander-v2**. This means it consistently lands successfully, demonstrating both high performance and stability across multiple episodes.
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  ## Usage (with Stable-baselines3)
 
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  using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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  ## **Metrics**
 
 
 
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  > The trained PPO agent achieves a mean reward of *370.24* ± *8.90* on **LunarLander-v2**. This means it consistently lands successfully, demonstrating both high performance and stability across multiple episodes.
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  ## Usage (with Stable-baselines3)