TensorKart: self-driving MarioKart with TensorFlow

Congrats on finishing the project! As you've already linked at the bottom of your post, it's possible that OpenAI could've solved most of your I/O issues.

One thing I'd suggest is exploring a reward function, instead of using only pre-recorded training data. That is, give the AI a goal to complete (in this case, finish the race) and let it learn by itself!

Pretty interesting I must say. Have to admit though, I kind of expected the self driving AI to be trying to win Grand Prix or Versus races instead of doing well in Time Trials. But hey, I can see how that would be utterly painful to try and set up, especially given how times you get hit by items or rammed off the track in more recent games.

Next, have it upload its race results to kartlytics

I was ready to be impressed about seeing an AI that could consistently beat the game's own AI, with blue turtle shells and all. Oh well, still pretty impressive to be able to drive on the easiest course without opponents.

The inevitable follow-up article that delves into training offensive banana peel usage should be interesting.