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Update Getting-Started-with-Balance-Ball.md
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docs/Getting-Started-with-Balance-Ball.md

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@@ -267,11 +267,12 @@ for each training run. In other words, "BalanceBall1" for the first run,
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every training run are saved to the same directory and will all be included
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on the same graph.
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To summarize, go to your Anaconda command line, activate the ml-agents environment, enter the `ml-agents` directory and type:
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To summarize, go to your command line, enter the `ml-agents` directory and type:
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```python
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python3 python/learn.py <env_file_path> --run-id=<run-identifier> --train
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```
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**Note**: If you're using Anaconda, don't forget to activate the ml-agents environment first.
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The `--train` flag tells ML-Agents to run in training mode. `env_file_path` should be the path to the Unity executable that was just created.
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