[P] I trained a RNN to play Super Mario Kart, human-style • r/MachineLearning

I really liked your previous project, and to be honest I enjoyed that more than the current project. In the previous project, your agents learned how to play a game from scratch by evolving a minimal neural network. Combining that approach with an algorithm to generate random tracks, or play against itself in the experiment, it may even learn to generalize to some extent to previously unseen tracks. Here, I see you are training a predictive coding model to imitate a recorded dataset of actual human play, which is better than Mar I/O from a technical standpoint in the sense that you are learning from pixels, but conceptually I am still more interested in the self-exploration idea. It might be cool though to train your LSTM to imitate the NEAT-evolved agents from Mar I/O, then you can claim the entire system learned to play on its own!