What is the most interesting part is, that at this point many pro commentators found a lot of aji, but did not find a "solution" for Lee Sedol that broke AlphaGos position. So the question remains: Did AlphaGo find a hole in it's own position and tried to dodge that? Was it too strong for its own good? Or was it a misevaluation due to the immense amounts of aji, which would not result in harm, if played properly?
2016-03-13 9:54 GMT+01:00 Darren Cook <dar...@dcook.org>: > From Demis Hassabis: > When I say 'thought' and 'realisation' I just mean the output of > #AlphaGo value net. It was around 70% at move 79 and then dived > on move 87 > > https://twitter.com/demishassabis/status/708934687926804482 > > Assuming that is an MCTS estimate of winning probability, that 70% > sounds high (i.e. very confident); when I was doing the computer-human > team experiments, on 9x9, with three MCTS programs, I generally knew I'd > found a winning move when the percentages moved from the 48-52% range > to, say, 55%. > > I really hope they reveal the win estimates for each move of the 5 > games. It will especially be interesting to then compare that to the > other leading MCTS programs. > > Darren > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
