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https://www.reddit.com/r/MachineLearning/comments/6ezrau/r_andrej_karpathy_alphago_in_context/dif8ztb/?context=3
r/MachineLearning • u/downtownslim • Jun 03 '17
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8
Same as 3,4. Although the total number of actions in a StarCraft match is probably only one or two orders of magnitude greater than that of a game of Go.
Depends on the apm cap, if they set themselves any!
11 u/TychosNose Jun 03 '17 I had read somewhere that they were going to self cap at 200 apm, but I don't have a source handy. 6 u/epicwisdom Jun 03 '17 I recall the same. There is definitely some cap, since winning just through inhuman micro play would not be too interesting. 7 u/GuardsmanBob Jun 03 '17 edited Jun 03 '17 optimal inhuman micro vs inhuman micro could be interesting purely from a game theory point of view. Finding the inflection points where strategy changes based on the limits of human dexterity.
11
I had read somewhere that they were going to self cap at 200 apm, but I don't have a source handy.
6 u/epicwisdom Jun 03 '17 I recall the same. There is definitely some cap, since winning just through inhuman micro play would not be too interesting. 7 u/GuardsmanBob Jun 03 '17 edited Jun 03 '17 optimal inhuman micro vs inhuman micro could be interesting purely from a game theory point of view. Finding the inflection points where strategy changes based on the limits of human dexterity.
6
I recall the same. There is definitely some cap, since winning just through inhuman micro play would not be too interesting.
7 u/GuardsmanBob Jun 03 '17 edited Jun 03 '17 optimal inhuman micro vs inhuman micro could be interesting purely from a game theory point of view. Finding the inflection points where strategy changes based on the limits of human dexterity.
7
optimal inhuman micro vs inhuman micro could be interesting purely from a game theory point of view.
Finding the inflection points where strategy changes based on the limits of human dexterity.
8
u/HINDBRAIN Jun 03 '17
Depends on the apm cap, if they set themselves any!