As we mentioned, we will use the same experiment runner implementation and the same NEAT hyperparameters settings as in the previous experiment. But we will configure the different maze environment as follows:
$ python maze_experiment.py -m hard -g 500
After a while, when the experiment is over, we see that even after 500 generations of evolution, a successful maze solver has not been found. The best genome obtained using the neuroevolution algorithm encodes a bizarre and non-functional controller ANN configuration, which is shown in the following diagram:
ANN configuration controlling the ...
