Training the Agent
The chapter has been building up to this point. You will shortly be able to see your work up to now translate into something tangible—a pre-trained model that can be reused in any of your projects. We've created a suitable environment, populated it with a never-ending supply of opportunities for the monster to do right or wrong (by colliding with the chick or rock, respectively), and configured the learning algorithm's input and how we respond to its output. Now it is time to run the learning process, and this is where the Python packages we installed in the Installing ML-Agents section come in handy (well, essential really; without them, the monster won't be learning anything!). However, before we can run the learning command, we need to create a settings file. This file will store all the settings related to training the Agent and can have a small effect on how our monster learns:
- In your file browser of choice, create a folder called...
