[FRIAM] Adversarial Go trick defeats KataGo

Eric Charles eric.phillip.charles at gmail.com
Thu Nov 10 16:44:33 EST 2022


"the adversarial policy works by first staking claim to a small corner of
the board. He provided a link to an example
<https://goattack.alignmentfund.org/?row=0#no_search-board> in which the
adversary, controlling the black stones, plays largely in the top-right of
the board. The adversary allows KataGo (playing white) to lay claim to the
rest of the board, while the adversary plays a few easy-to-capture stones
in that territory."

This sounds oddly reminiscent of the vs-computer RISK strategy of taking
over Australia, and ceding the rest of the board until you suddenly come
out and win. Which no half-decent human opponent would ever let you do, but
the computer AI make totally viable.



On Thu, Nov 10, 2022 at 1:24 PM Roger Frye <frye.roger at gmail.com> wrote:

>
> https://arstechnica.com/information-technology/2022/11/new-go-playing-trick-defeats-world-class-go-ai-but-loses-to-human-amateurs/
>
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