Gian-Carlo Pascutto: <0357614a-98b8-6949-723e-e1a849c75...@sjeng.org>:
>Now, even the original AlphaGo played moves that surprised human pros >and were contrary to established sequences. So where did those come >from? Enough computation power to overcome the low probability? >Synthesized by inference from the (much larger than mine) policy network? Demis Hassabis said in a talk: After the game with Sedol, the team used "adversarial learning" in order to fill the holes in policy net (such as the Sedol's winning move in the game 4). Hideki -- Hideki Kato <mailto:hideki_ka...@ybb.ne.jp> _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
