It thought it would win. KataGo was trained on multiple scoring methods at the same time: it is an input to the algorithm[0]. The model learnt that it would wi

It thought it would win. KataGo was trained on multiple scoring methods at the same time: it is an input to the algorithm[0]. The model learnt that it would win when passing, and it seems it never had the opportunity to detect that it would not win under Tromp-Taylor when passing, because its opponent in self-play, KataGo, then either passed and lost (under other rules) or resigned. [0]: https://github.com/lightvector/KataGo/blob/master/cpp/configs/gtp_example.cfg#L92 https://github.com/lightvector/KataGo/blob/master/cpp/config...