The next experiment in this chapter is to run the neuroevolution process to find an agent that can solve a maze with a more complex configuration of walls. This hard-to-solve maze configuration introduces powerful local fitness optima traps and does not have a straightforward route from the start position of the agent to the exit area of the maze. You can see the maze configuration in the following diagram:
The maze configuration has its start position in the bottom-left corner, marked with a green circle, and the position of the maze exit point is in the top-left corner, marked with a red circle. You can see that, to solve the maze, the navigator agent must develop a complex control strategy that allows it to avoid the local fitness optima traps around the starting point. The...
