Ah right, so if you mean algorithms then just say so. No, it's not hundreds. You would need millions or billions of generations to beat a player. You seem to be a bit misinformed about how it works. The most common AI learning is stacking a massive database about every possibility with given controls. At first is literally just spamming every combination possible and seeing what happens. Now let's come back to the chess. In chess there are 400 different positions after each player makes one move apiece. There are 72,084 positions after two moves apiece. Since TB has 18 joints and 4 states each as we established, that's 72^72 of combinations, so in toribash there are 5.3E133 different positions EVERY MOVE. So, it would take billions of generations for an AI to beat a player in Toribash, and even that is very optimistic since I'm still not involving the fact that the machine has to predict other player, which would probably take millions of games to build up big enough database about how typical player acts.

So yes, as you said 100kb for an average aikido game, now let's include the database of moves to predict + the database of all the past moves to reference and you're looking at thousands of gigabytes of data. Can your home computer process that much information in around 20 seconds that the frame allows you to edit your tori? Even a supercomputer would probably need some personalised tweaking to run an AI such as this one.

Btw in GTA you don't need to predict where other cars are going in a way that they are other, hard coded AIs with very predictable patterns.

And you're right, I don't have any experience at machine learning, it's just my own research and common sense.