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@@ -28,7 +28,7 @@ Table 1 shows the dataset statistics regarding mean reward (expert data), number
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  ## Results and Evaluation
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- The dataset was used to train both online and offline RL algorithms. Performance comparisons between these methods demonstrated the effectiveness of offline RL algorithms, particularly when using expert data. Online RL algorithms struggled to generalize or often overfit when provided with expert demonstrations. For more detailed information about the hyperparameters, please refer to the appendix of the [paper](https://arxiv.org/abs/2406.17490).
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  <div style="text-align: center;">
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  <img src="imgs/offline_results.png" alt="stats" width="600"/>
 
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  ## Results and Evaluation
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+ The dataset was used to train both online and offline RL algorithms (Table 2). Performance comparisons between these methods demonstrated the effectiveness of offline RL algorithms, particularly when using expert data. Online RL algorithms struggled to generalize or often overfit when provided with expert demonstrations. For more detailed information about the hyperparameters, please refer to the appendix of the [paper](https://arxiv.org/abs/2406.17490).
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  <div style="text-align: center;">
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  <img src="imgs/offline_results.png" alt="stats" width="600"/>