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@@ -649,7 +649,7 @@ Each data instance represents a single step consisting of tuples of the form (ob
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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 taking the argmax action at each step, corresponding to taking the mode of the action distribution. Consequently the rollout policy is deterministic. 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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  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.