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"the AlphaGo algorithm, this is something we’re going to try in the next few months — we think we could get rid of the supervised learning starting point and ju
by danblick 11y ago
"the AlphaGo algorithm, this is something we’re going to try in the next few months — we think we could get rid of the supervised learning starting point and just do it completely from self-play, literally starting from nothing."
http://www.theverge.com/2016/3/10/11192774/demis-hassabis-interview-alphago-google-deepmind-ai http://www.theverge.com/2016/3/10/11192774/demis-hassabis-in...
(This is why I take exception to the claim in this blog post that the supervised training data was critical to success...)
- deleted 11y ago[deleted]
- nazka 11y agoOk thank you for your answer. So many things are claimed that it is hard to track what is real and what is just hype. I agree that it's something big. Training Alpha Go on itself means something bigger than "just" optimizing a statistical model on human data. I think recognition of logic elements to strategy planning are parts of what will make ML really close to IA. (With memory, and cleverness to learn) And are the next big steps.