Generalized reasoning in strategy games AI is an especially difficult problem for machine learning. IRL, top StarCraft players routinely model their opponents mental states and psychology to create an edge.
So perhaps it's worth pointing out, that this paper specifically addresses a sub-problem of Starcraft play, micromanagement ('micro') [1]
The game engine runs at 24 frames per second. (As an aside, 'frames' in this context likely does not map to physical FPS of the display).
>We ran all the following experiments with a
skip_frames of 9 (meaning that we take about 2.6 actions per unit per second).
The research team found that attempting to move at a superhuman pace (eg one action every frame), resulted in a subpar performance and hyper-parameterization indicated 2.6 to be an ideal action per second.
In context, this translates to an APM of 156. Or, roughly half that of professional Korean e-athletes. [2]
[1] https://en.wikipedia.org/wiki/Micromanagement_(gameplay)
[2] https://en.wikipedia.org/wiki/Actions_per_minute
So perhaps it's worth pointing out, that this paper specifically addresses a sub-problem of Starcraft play, micromanagement ('micro') [1]
The game engine runs at 24 frames per second. (As an aside, 'frames' in this context likely does not map to physical FPS of the display).
>We ran all the following experiments with a skip_frames of 9 (meaning that we take about 2.6 actions per unit per second).
The research team found that attempting to move at a superhuman pace (eg one action every frame), resulted in a subpar performance and hyper-parameterization indicated 2.6 to be an ideal action per second.
In context, this translates to an APM of 156. Or, roughly half that of professional Korean e-athletes. [2]
[1] https://en.wikipedia.org/wiki/Micromanagement_(gameplay)
[2] https://en.wikipedia.org/wiki/Actions_per_minute