From before AlphaGo was announced, I thought the way forward was
generating games that play to the bitter end maximizing score, and
then using the final ownership as something to predict. I am very glad
that someone has had the time to put this idea (and many others!) into
practice.
For any interested people on this list who don't follow Leela Zero
discussion or reddit threads:
I recently released a paper on ways to improve the efficiency of
AlphaZero-like learning in Go. A variety of the ideas tried deviate a
little from "pure zero" (e.g. ladder detection, predicting board
