Earlier quoted context omitted.
Are you so sure? APM limits on the AI aren't necessary, which is a real insight FTA: >In its games against TLO and MaNa, AlphaStar had an average APM of around 280, significantly lower than the professional players, although its actions may be more precise. This lower APM is, in part, because AlphaStar starts its training using replays and thus mimics the way humans play the game. https://deepmind.com/blog/alphastar-…
AlphaStar had an average APM of 280, but during battles, it's APM would spike up to ~1500. It's like saying that my car has an average speed of 2mph. Sure, it does - but that's because it spends 23 hours a day sitting in a garage.
I get the analogy but based on the distribution, 75% of the APM for alphastar is below the mean of APM for the human during gameplay. Following that analogy, both cars are on the racetrack, except one is applying acceleration with more precision - i.e. accelerating out of a turn rather than always accelerating. Capping acceleration wouldn't matter in this case.