General discussions or talks about KoG servers and KoG community can be made here. English only.
Between 2024-05-22 00:00:00Z and 2024-05-23 00:00:00Z
iMilchshake
Hmm my generator doesn't work in a way that would allows you to 'reverse' it, to use it to classify map difficulties.
But that is a really interesting side project idea. If you then let it run for all kog maps you might be able to show shifts in the star ratings of maps or smth :D
imo there is no need for AI. The generator already looks competent enough. I haven't looked at the GUI yet, but if you have waypoints and a fill-in function. To be honest, I wouldn't know why you should still map. Then you build something here first and tweak the rest of the work.
By the way, with fill-in I mean that you mark a certain area and it is regenerated.
It would also be cool to be able to customize the parameters after each waypoint. So you have different styles according to certain sections.
imo there is no need for AI. The generator already looks competent enough. I haven't looked at the GUI yet, but if you have waypoints and a fill-in function. To be honest, I wouldn't know why you should still map. Then you build something here first and tweak the rest of the work.
By the way, with fill-in I mean that you mark a certain area and it is regenerated.
It would also be cool to be able to customize the parameters after each waypoint. So you have different styles according to certain sections.
yeah its waypoint based, the fill-in function sounds like a funny idea! Having different presets is also no problem from a technical perspective, as all the required features are allready in place. The main task/problem would be building the actual UI for that tho xd(edited)
and having no UI is no option for smth like that D:
iMilchshake
yeah its waypoint based, the fill-in function sounds like a funny idea! Having different presets is also no problem from a technical perspective, as all the required features are allready in place. The main task/problem would be building the actual UI for that tho xd (edited)
It would be very awesome if you could specify the difficulty, but thats hard even with ML. We dont have enough data for a good working ML & we are not even sure if our ratings are correct. There might be some wrong ratings applied
08:33
The next problem is that maps difficulty change over years. So we would need some sort of reinforced learning capable of judging new incoming maps and adopting the ratings for existing ones each year for example
08:34
But in general its an interesting topic in ML/AI
Avolicious
It would be very awesome if you could specify the difficulty, but thats hard even with ML. We dont have enough data for a good working ML & we are not even sure if our ratings are correct. There might be some wrong ratings applied
it would be super interesting. i might be able to predict some confidence interval for the r1 time. i might be able to show a shift in star ratings or outliers. maybe it doesnt work at all. dunno. but sounds like a very interesting project :D
iMilchshake
it would be super interesting. i might be able to predict some confidence interval for the r1 time. i might be able to show a shift in star ratings or outliers. maybe it doesnt work at all. dunno. but sounds like a very interesting project :D
yeah i'd do some pathfinding + distance transform stuff on the maps to extract some features by hand (path length, average part width, part width variance, .. idk) and match it to kog's star rating and current r1 time. Maybe i can fit a sane model to it xd
Avolicious
Yeah, there is no "real" profit, but still impressive that people put that much effort in this type of things
yeah i'd do some pathfinding + distance transform stuff on the maps to extract some features by hand (path length, average part width, part width variance, .. idk) and match it to kog's star rating and current r1 time. Maybe i can fit a sane model to it xd
It would be very awesome if you could specify the difficulty, but thats hard even with ML. We dont have enough data for a good working ML & we are not even sure if our ratings are correct. There might be some wrong ratings applied