We start our experiments using a simple maze configuration similar to the one described in the previous chapter. However, instead of the goal-oriented objective function, we use the NS optimization method to guide the neuroevolution process. We hope that with Novelty Search method it will be possible to find a successful maze solver with fewer epochs of evolution.
You can see the schema of the simple maze in the following plot:
The simple maze configuration
The maze configuration is the same as in the previous chapter. However, we need to adjust the corresponding NEAT hyperparameters to meet the specifications of the NS optimization method.
