Re: [Computer-go] A new ELF OpenGo bot and analysis of historical Go games

"The sudden overall increase in agreement in 2016 also reinforces the belief that the introduction of powerful AI opponents has boosted the skills of professional players. That apparent correlation isn't conclusive — it's possible that humans have gotten markedly better for some other reason — but

Re: [Computer-go] Paper “Complexity of Go” by Robson

Hello, I assume after white plays at U22, black T20, white T19, black should have a choice of playing either at S21, capturing one white stone and leading the ladder to the top ko, or at S20, leading the ladder to the middle ko. However, if black plays at S21, the sequence: wS20 bT21 wR20 bS22

Re: [Computer-go] Paper “Complexity of Go” by Robson

Hello, I assume after white pla 2018-06-22 0:27 UTC+02:00, John Tromp : Direct link to image: http://tromp.github.io/img/WO5lives.png > > Might be useful for go event organizers in need of arrow signs... > > regards, > -John > ___ > Computer-go

Re: [Computer-go] mcts and tactics

2017-12-20 0:26 UTC+01:00, Dan : > Hello all, > > It is known that MCTS's week point is tactics. How is AlphaZero able to > resolve Go tactics such as ladders efficiently? If I recall correctly many > people were asking the same question during the Lee Sedo match -- and it >

Re: [Computer-go] Learning related stuff

2017-11-21 23:27 UTC+01:00, "Ingo Althöfer" <3-hirn-ver...@gmx.de>: > My understanding is that the AlphaGo hardware is standing > somewhere in London, idle and waitung for new action... > > Ingo. The announcement at https://deepmind.com/blog/applying-machine-learning-mammography/ seems to

Re: [Computer-go] Learning related stuff

2017-11-22 15:17 UTC+01:00, "Ingo Althöfer" <3-hirn-ver...@gmx.de>: > For instance, with respect to the 72-hour run of AlphaGo Zero > one might start several runs for Go(with komi=5.5), > the first one starting from fresh, the second one from the > 72-hour process after 1 hour, the next one after

Re: [Computer-go] Is MCTS needed?

2017-11-16 17:37 UTC+01:00, Gian-Carlo Pascutto : > Third, evaluating with a different rotation effectively forms an > ensemble that improves the estimate. Could you expand on that? I understand rotating the board has an impact for a neural network, but how does that change