Yes, but that's kind of my point

We see it learn something with insane precision but most often it is almost an effect of over-training. It probably would require less time to learn another layout but it's not learning the general rules (can't go through walls, holes are bad, we want to get to X), it learns the specific layout. Each time a layout changes, it would have to re-learn it

It is impressive and enables automation in a lot of areas, but in the end it is still only machine learning, adapting weights to specific scenario