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Explain use of epsilon in model embedding

/develop-generalizationTraining-TrainerController
GitHub 7 年前
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      docs/Getting-Started-with-Balance-Ball.md

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


4. Select the `3DBallBrain` object from the Scene hierarchy.
5. Change the `Type of Brain` to `Internal`.
6. Drag the `<env_name>.bytes` file from the Project window of the Editor to the `Graph Model` placeholder in the `3DBallBrain` inspector window.
7. Set the `Graph Placeholder` size to 1.
7. Set the `Graph Placeholder` size to 1 (Note that step 7 8 are done because 3DBall is a continuous control environment, and the TensorFlow model requires a noise parameter to decide actions. In cases with discrete control, epsilon is not needed).
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.
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