It helps a lot if you have to do it as a job, as a paid researcher. I once tried it as a volunteer job for a company I worked for at the time, but we only got the basic infrastructure going, after half a year of work, with two people.
We were trying a neural network approach, while everybody said NN was done for in AI go, and we had to do MCTS. We were stubborn, though. As we did not get paid for it, we essentially could do whatever we liked. We also both had social lives that we did not want to neglect totally, so we might have been able to do more, had we been more dedicated. ;-) On Thu, Jan 5, 2017 at 7:35 PM, Adrian Petrescu <apetr...@gmail.com> wrote: > As an individual? Probably, yes. > > On Thu, Jan 5, 2017 at 1:34 PM, Xavier Combelle <xavier.combe...@gmail.com > > wrote: > >> >> >> Le 05/01/2017 à 02:16, Yamato a écrit : >> > Yes, it is AlphaGo. I am relieved that DeepMind clarified this. >> > >> > Honestly I got a little frustrated that many people didn't think that >> > was AlphaGo. It was almost clear to me because I know the difficulty of >> > developing AlphaGo-like bots. >> thanks for this insight, if I understand well developing a bot >> competitive with alphago >> is nearly an impossible task? >> _______________________________________________ >> 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 >
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