**Note**: If you're using Anaconda, don't forget to activate the ml-agents environment first.
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.
Once the training process completes, and the training process saves the model
(denoted by the `Saved Model` message) you can add it to the Unity project and
use it with agents having an **Internal** brain type.
**Note:** Do not just close the Unity Window once the `Saved Model` message appears. Either wait for the training process to close the window or press Ctrl+C at the command-line prompt. If you simply close the window manually, the .bytes file containing the trained model is not exported into the ml-agents folder.