A step-by-step guide to the “World Models” AI paper
Table of Contents

Teaching a machine to master car racing and fireball avoidance through “World Models”.
Source: applied-data.science

Teaching a machine to master car racing and fireball avoidance through “World Models”.
Source: applied-data.science
As detailed in a paper published to arXiv, the neural net is actually a generative adversarial network (GAN), which is a way of training a machine learning algorithm without human supervision. In GANs, two neural nets are pitted against one another: One neural net generates new images and tries to trick the other neural net into thinking the images are real. If the other neural net is able to tell the generated images are false
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In the quest to create intelligent robots, designers tend to focus on purely rational, cognitive capacities. It’s tempting to disregard emotion entirely, or include only as much as necessary. But without emotion to help determine the personal significance of objects and actions, I doubt that true intelligence can exist – not the kind that beats human opponents at chess or the game of Go, but the sort of smarts that we humans recognise as such.
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