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Ervin TengChris Elion
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Minor doc updates to release
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docs/Training-ML-Agents.md

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@@ -445,8 +445,8 @@ Below is a list of included `sampler-type` as part of the toolkit.
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`interval_2_max`], ...]
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- **sub-arguments** - `intervals`
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The implementation of the samplers can be found at
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`ml-agents-envs/mlagents_envs/sampler_class.py`.
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The implementation of the samplers can be found in the
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[sampler_class.py file](../ml-agents/mlagents/trainers/sampler_class.py).
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#### Defining a New Sampler Type
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docs/Using-Tensorboard.md

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the --port option.
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**Note:** If you don't assign a `run-id` identifier, `mlagents-learn` uses the
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default string, "ppo". All the statistics will be saved to the same sub-folder
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and displayed as one session in TensorBoard. After a few runs, the displays can
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become difficult to interpret in this situation. You can delete the folders
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under the `summaries` directory to clear out old statistics.
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default string, "ppo". You can delete the folders under the `results` directory
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to clear out old statistics.
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On the left side of the TensorBoard window, you can select which of the training
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runs you want to display. You can select multiple run-ids to compare statistics.

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