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To say that AlphaGo had a great run in the competitive Go scene would be an understatement: it has just defeated the world's number 1 Go player, Ke Jie, in a three-part match. Now that it has nothing left to prove, the AI is hanging up its boots and leaving the world of competitive Go behind. AlphaGo's developers from Google-owned DeepMind will now focus on creating advanced general algorithms to help scientists find elusive cures for diseases, conjure up a way to dramatically reduce energy consumption and invent new revolutionary materials.
Before they leave Go behind completely, though, they plan to publish one more paper later this year to reveal how they tweaked the AI to prepare it for the matches against Ke Jie. They're also developing a tool that would show how AlphaGo would respond to a particular situation on the Go board with help from the world's number one player.
Source: ArsTechnica
(Score: 0) by Anonymous Coward on Wednesday May 31 2017, @03:46PM (1 child)
I think the next step would be games with incomplete information. In go, as in chess, all information about the game is available to both players; indeed, the position on the board already tells you most of what you need to know (in go, I think it tells you everything; in chess, there's some extra information determining the available moves, like whether the king has been moved before — castling is only allowed if it hasn't —, but again that information is available to both players).
In the real world, you rarely have the complete information available. Therefore being able to cope well with incomplete information is important.
(Score: 0) by Anonymous Coward on Wednesday May 31 2017, @06:06PM
A far lesser AI system just completely destroyed [ieee.org] 4 of the best heads up no limit hold'em players in the world. It was a decent sample size and hands were mirrored to minimize the impact of luck. In other words if he ran his kings into aces, he would be simultaneously running his aces into kings against a player playing the mirror setup. At the end, the AI was positive against every player individually. The AI beat the pros with a winrate that's what you'd expect to see in a pro vs strong amateur match.
I think DeepMind going for Starcraft 2 is going to likely be the greatest AI challenge to date. Incomplete information, real time, infinite search space, and the skill level of the top humans is incredibly high.