Hi, I couldn't improve leela zero's strength by implementing SEARCH and ACT. https://github.com/zakki/leela-zero/commits/regularized_policy
2020年7月17日(金) 2:47 Rémi Coulom <remi.cou...@gmail.com>: > > This looks very interesting. > > From a quick glance, it seems the improvement is mainly when the number of > playouts is small. Also they don't test on the game of Go. Has anybody tried > it? > > I will take a deeper look later. > > On Thu, Jul 16, 2020 at 9:49 AM Ray Tayek <rta...@ca.rr.com> wrote: >> >> https://old.reddit.com/r/MachineLearning/comments/hrzooh/r_montecarlo_tree_search_as_regularized_policy/ >> >> >> -- >> Honesty is a very expensive gift. So, don't expect it from cheap people - >> Warren Buffett >> http://tayek.com/ >> >> _______________________________________________ >> 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 -- Kensuke Matsuzaki _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
