reinforcement learning has really shined or shun whatever one obstacle to overcome is the amount of data needed by learning systems of this type so again if you look at these systems like alphago they need a simulator and they need to collect enormous amounts of data um even more so with systems like the dota ai the openai5 dota or starcraft playing alpha star i think it's alpha star they need so many simulations in order to learn about the tasks because they always start from scratch in this article they say