This tutorial will walk through the end-to-end process of installing Unity Agents, building an example environment, training an agent in it, and finally embedding the trained model into the Unity environment.
8. Add a placeholder called `epsilon` with a type of `floating point` and a range of values from 0 to 0.
9. Press the Play button at the top of the editor.
If you followed these steps correctly, you should now see the trained model being used to control the behavior of the balance ball within the Editor itself. From here you can re-build the Unity binary, and run it standalone with your agent's new learned behavior built right in.
If you followed these steps correctly, you should now see the trained model being used to control the behavior of the balance ball within the Editor itself. From here you can re-build the Unity binary, and run it standalone with your agent's new learned behavior built right in.