Hands-On Neuroevolution with Python

Autonomous maze navigation

In this chapter, we continued our experiments with neuroevolution as an attempt to create a solver that can find an exit from a maze. Maze solving is a fascinating problem as it allows us to study a new search optimization method called Novelty Search. In Chapter 5, Autonomous Maze Navigation, and Chapter 6, Novelty Search Optimization Method, we explored a series of the maze navigation experiments using the goal-oriented search optimization and the Novelty Search optimization method.

In this chapter, you learned how to implement a simulation of a robot that has an array of sensors that detect obstacles and monitor its position within the maze. Also, we discussed how to implement a goal-oriented objective function ...