For example, MariFlow would get itself into dead-end situations and be unable to recover. That experience needed to be weighted by humans so that MariFlow knew what information was important. Yet this too is not some automatic process. The biggest difference is that MariFlow is a recurrent neural network, which means the machine is capable of remembering information. Broadly speaking, from about four layers of computation, the program arrives at a set of predictions for the buttons it thinks SethBling is likely to press at a certain point on the track. How MariFlow pulls this off is explained in detail in the six-minute video at top. MariFlow, as the Mario Kart network is called, takes its cues from player information SethBling tried to make the robot play like his father, for example.
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