Eh... Look I get that everyone wants to publish exciting results, but to call this unequivocally "better" than quick sort is a big stretch. The profiling resul

Eh... Look I get that everyone wants to publish exciting results, but to call this unequivocally "better" than quick sort is a big stretch. The profiling results are unconvincing at best. A small, < 10% improvement, could easily (and much more likely) be explained by any number of possible differences in optimization between the quicksort implementation they're using and the neural network library. Table 3 is very suspicious too. If they're doing what they claim, then why is Binary Search all of a sudden significantly better than the learned agent for some problem sizes? It really feels like they're running up against some kind of inherent optimization boundary inside their neural network library...