Except gliders move at about 1 foot per second. They move through small changes in buoyancy combined with orientation changes.
Makes me think of the scene in Austin Powers, where the steamroller is running over the minions.
It's because people who know how to use latex can almost universally use word, but the converse is not remotely true.
Easy to implement. First thing that seems plausible that gets taught in a machine learning course. And sometimes, like, say... HERE.... it works pretty well!
1) Playing on lives didn't work because eventually a network would destroy the boss' offensive capabilities and hide in a corner. The game would never progress.
Why on earth would that poor guy want to get to a new level for more hurt? He's a lover, not a fighter! Why can't we all just get along?
Ok, I skimmed the article.
They don't need to find the image - they start out knowing where it is, so stuff like template matching is irrelevant.
And since the NN started out knowing where the icons were, figuring out which ones matched which signals is not as impressive. It's just a ho-hum NN application, now.
Except to do something like that you have to analyze the program code of every game you make a trainer for. I've never done that sort of thing, but it seems scary.
An approach like the one they've outlined can probably be moved from game to game with only parameter tweaks.
That is the true beauty of machine learning
I refused to learn latex when I was in academia. I am shocked it is still around. But the apps I saw that might have replaced it are probably either too pricey or long dead these days. I remember writing my thesis is Word and I had to reboot the PC after every major format change to free up memory. (Days when 8MB as a lot of memory.)
Or you could have just learned latex and saved yourself the hassle.
What the gods would destroy they first submit to an IEEE standards committee.
