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User Guide

Generic Information

By hovering over the green question mark for each setting, the recommended typical values are displayed. These values come from ML-Agents Toolkit. screenshot

ML-Agents Training Workflow

Step 1: Adjust the settings accordingly. Visit ML-Agents Toolkit for futher information.

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Step 2: Change the configuration file name. If the name is not changed, the configuration file will be named config.yaml. Press the Save ML-Agents Configuration button and this will create the configuration file. To reset the settings, press the Restore Defaults button.

Step 3: To start ML-Agents training, press the Start Training button.

Step 4: Select a configuration file.

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Step 5: Click the Proceed button and the training will start!

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Step 6: There is also an option to continue from a previous run. Select either Initialize from previous run OR Continue previous run.

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Step 7: The Initialize from previous run OR Continue previous run option require a Previous Run Results Directory. Navigate to the file system and paste the path in. Press Proceed and the training will resume.

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Hyperparameter Tuning and Effective ML-Agents Training Workflow

Step 1: Adjust the settings accordingly.

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Step 2: Change the configuration file name. If the name is not changed, the configuration file will be named config.yaml. Press the Save Hyperparameter Configuration button and this will create the configuration file. To reset the settings, press the Restore Defaults button.

Step 3: To start Hyperparameter Tuning and ML-Agents Training, press the Start Hyperparameter Tuning and Training button.

Step 4: Select a configuration file.

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Step 5: Click the Proceed button and tune & training will start!

Step 6: There is also an option to continue from a previous run. Select Continue previous run.

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Step 7: The Continue previous run option requires a Previous Run Results Directory. Navigate to the file system and paste the path in. Press Proceed and the tune & training will resume.

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Dashboard worflow

screenshot Step 1: Press the Open Dashboard button to start the local web app.