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.

For me the most interesting part of this match was the part where one of the DeepMind team confirmed that because AlphaGo optimizes for probability of winning rather than expected score difference, games where it has the advantage will look close. It changes how you should interpret the apparent closeness of a game

Qiaochu Yuan, or him quoting someone.

This appears to be a general property of the Monte Carlo search algorithm, which AlphaGo employs.

1Douglas_Knight10y

Almost all algorithms for almost all games play to win. That isn't anything special about AlphaGo. Maybe there's something special about Go or about this algorithm that makes is harder to assess, but that isn't a reason.

4TheAltar10y

I was worried about something like this after the first game. I wasn't sure if expert Go players could discern the difference between AlphaGo playing slightly better than a 9dan versus playing massively better than a 9dan due to how the AI was set up and how difficult it might be to look at players better than the ones already at the top.

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AlphaGo versus Lee Sedol

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AlphaGo versus Lee Sedol

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