AlphaGo versus Lee Sedol

gjm

There have been a couple of brief discussions of this in the Open Thread, but it seems likely to generate more so here's a place for it.

The original paper in Nature about AlphaGo.

Google Asia Pacific blog, where results will be posted. DeepMind's YouTube channel, where the games are being live-streamed.

Discussion on Hacker News after AlphaGo's win of the first game.

There have been a couple of brief discussions of this in the Open Thread, but it seems likely to generate more so here's a place for it.

The original paper in Nature about AlphaGo.

Google Asia Pacific blog, where results will be posted. DeepMind's YouTube channel, where the games are being live-streamed.

Discussion on Hacker News after AlphaGo's win of the first game.

Go champion Lee Se-dol strikes back to beat Google's DeepMind AI for first time in forth game 3:1 http://www.theverge.com/2016/3/13/11184328/alphago-deepmind-go-match-4-result

Has anyone from Google commented much on AlphaGo's mistakes here? Why it made the mistake at 79, why it didn't notice until later that it was suddenly losing, and why it started playing so badly when it did notice.

(I've seen commentary from people who've played other monte-carlo based bots, but I'm curious whether Google has confirmed them.)

I don't think I've seen anyone say this explicitly: I would guess that part of the problem was AG hasn't had much training in "mistakes humans are likely to make". With good play, it could have recovered again... (read more)

1skeptical_lurker10y

Alpha Go seems to play really bad moves when it is loosing - this makes some sense as humans also make overplays out of desperation, but it suggests that Alpha Go would be bad at handicap games, unless they change the algorithum to maximise score instead of win probability.

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AlphaGo versus Lee Sedol

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AlphaGo versus Lee Sedol

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