https://www.technologyreview.com/s/610434/why-humans-learn-faster-than-ai-for-now/
Leisure Suit Larry in the Land of the Lounge Lizards
It's not surprising that these brute force machine learning or "deep" learning systems have problems when there is little to signal a 'good' path from a 'bad' path. There is very little intelligence in current AI that people didn't already program into it.But while this work is impressive, it highlights one of the significant limitations of deep learning. Compared with humans, machines using this technology take a huge amount of time to learn. What is it about human learning that allows us to perform so well with relatively little experience?
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By contrast, the game is hard for machines: many standard deep-learning algorithms couldn’t solve it at all, because there is no way for an algorithm to evaluate progress inside the game when feedback comes only from finishing.
The best machine performer was a curiosity-based reinforcement-learning algorithm that took some four million keyboard actions to finish the game. That’s equivalent to about 37 hours of continuous play.
Leisure Suit Larry in the Land of the Lounge Lizards
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