EpicPinkPenguin
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Update README.md
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The dataset is divided into a `train` (90%) and `test` (10%) split. Each environment-dataset has in sum 1M steps (data points).
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## Dataset Creation
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The dataset was created by training an RL agent with [PPO](https://arxiv.org/abs/1707.06347) for 50M steps in each environment. The trajectories where generated by
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## Video Samples
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Here is a collection of videos with the RGB observations from the dataset.
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The dataset is divided into a `train` (90%) and `test` (10%) split. Each environment-dataset has in sum 1M steps (data points).
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## Dataset Creation
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The dataset was created by training an RL agent with [PPO](https://arxiv.org/abs/1707.06347) for 50M steps in each environment. The trajectories where generated by sampling from the predicted action distribution at each step (not taking the argmax). The environments were created on `distribution_mode=easy` and with unlimited levels.
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## Video Samples
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Here is a collection of videos with the RGB observations from the dataset.
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