Modular retina experiment

Now we are ready to start experimenting against the test environment that simulates the modular retina problem space. In the next subsections, you will learn how to select appropriate hyperparameters and how to set up the environment and run the experiment. After that, we discuss the experiment results.

Hyperparameter selection

The hyperparameters are defined as a Parameters Python class, and the MultiNEAT library refers to it for the necessary configuration options. In the source code of the experiment runner script, we define a specialized function called create_hyperparameters, which encapsulates the logic of the hyperparameter initialization. Hereafter, we describe the most critical hyperparameters...