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This is all very webdesign-y and might be good for a less techy audience, but tbh I think the original article with its notebook format provides a lot more useful information https://hinnefe2.github.io/python/tools/2015/09/21/mario-kar...
Do professionals use different builds per map? For example, a map has long straightaways (favoring top speed) vs a map with more sharp turns (preferring acceleration)?
The breakdown is actually bagging vs. front running tracks. Bagging favors speed and front running favors mini turbo. Bagging means purposefully being far from first to get good items which allow you to come back hard.
Wait, Bowser and Wario are the fastest? I thought it was the other way around. I guess it's reversed from Mario Kart 64.
They have the highest top speed. It was that way in Mario Kart 64 as well. They have the worst acceleration though.
I always knew those little red tires were the best. Sadly, this misses the most important thing to me: style. And my love of Zelda. So I'm afraid I'll personally have to disregard all of this.
Earlier quoted context omitted.
I distinctly remember that the light characters had the highest top speed in Mario Kart 64. And according to this table, I'm right: https://tasvideos.org/GameResources/N64/MarioKart64#:~:text=...
That'd make the heavy characters completely useless, once you're behind, there's no way to catch up anymore!
I wonder, in practice, does defining my preferences and weights and then using a genetic algorithm find the optional solution? That would take me less thought, because I already know exactly how to define a score function and use a random API.
Beautiful presentation. I love when visualizations serve the goal and not the other way around. Tufte would be proud.
My kid (6) crashes all the time, and she is naturally attracted to picking Peach. I'd say because of that, a character with high acceleration is going to be better. Though she also just likes to push the gas.
Though we're playing the one from GBA on Analogue Pocket. Which is probably a lot less advanced as the one in question here (a game for Wii U from 2012), it does resemble Wacky Wheels quite a lot.
I always knew those little red tires were the best. Sadly, this misses the most important thing to me: style. And my love of Zelda. So I'm afraid I'll personally have to disregard all of this.
There are no grounds on which I can disagree with you.
How to calculate a Pareto front world take me some thought. I wonder, in practice, does defining my preferences and weights and then using a genetic algorithm find the optional solution? That would take me less thought, because I already know exactly how to define a score function and use a random API.
Look up NSGA and NSGA-II for a good starting point. Then Kagi your way deeper into the rabbit hole.