Yes. Some of those things can be discovered by trial-and-error (exploration in Reinforcement Learning, I guess?) but some others are much more of a tall order. One classic problem is that the things one does in early levels affect the progress of the game at higher (lower) levels but it's not clear how before getting there. So while I think that, ultimately, a big neural net should be able to learn all those tricks that human players have learned over the years, it would take an exhorbitant amount of data and training time, that perhaps few companies would want to spend on something obscure and esoteric like nethack.