This is a 'new' discovery! According to @demishassabis biggest step towards AGI.
AlphaGo Zero is great, but hold on: self-play is one of the oldest ideas in ML, and humans take far less than 5 million games to master Go.
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Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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True. But 3 days is another way to measure its learning speed.
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And humans have improved at Go over thousands of years of games over thousand of people
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OTOH, haven’t humans done a lot more than 5m ‘moves’ before they ever encounter Go?
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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Well said. I believe you're pointing to the moon, while many commenters see the pointing finger. It's not an issue of performance but how many "full" tasks had to be executed before reaching proficiency. For real-world (time consuming) tasks, this would matter a lot.
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Neural networks do not replicate how the brain works.The brain has many unanswered questions.Quantum ML could be a possible solution!
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Trying to create human intelligence in a machine is a fools errand, let the machines use their advantages. Like playing 5 million games over 3 days
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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If they showed how to train same performance player but with 1000 self-played games (see, an expensive game), that would be impressive.
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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Perhaps the measure isn't the million of games played, but the number of days required to master a subject.
#deeplearning#aiKiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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Not only an old idea in ML! Have you read Stefan Zweig's Schachnovelle? A marvelous, haunting take on self-play.https://en.wikipedia.org/wiki/The_Royal_Game …
Kiitos. Käytämme tätä aikajanasi parantamiseen. KumoaKumoa
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