My impression of Alpha Zero research is that given enough feedback, AI would find “good” routes in the sense of sensible driving, minimal lefts, nearby bathroom

My impression of Alpha Zero research is that given enough feedback, AI would find “good” routes in the sense of sensible driving, minimal lefts, nearby bathrooms, etc — but not that it had anything in particular to say about hard combinatorics. Ie, AI would find “fast” routes in the sense of “a human driving these gets done fast, all things considered” but not necessarily “fast” in a simple combinatorics problem — which is actually good, because simple combinatorics often fails in the real world (eg, longer routes without left turns are faster). Did I miss something about how this more directly applies to combinatorics?