Re: Monte-Carlo Tree Search as Regularized Policy Optimization
Rémi Coulom <[email protected]> Thu, 16 Jul 2020 19:32:21 +0200
| Newsgroups | gmane.games.devel.go |
|---|---|
| Message-ID | <CANs0NNVtVwF-TfsAWJPzAsNfsZCWhE4eu=26L_85xaC-yjtzsg@mail.gmail.com> |
--===============0926496959065895724== Content-Type: multipart/alternative; boundary="000000000000fcf71805aa926c15" --000000000000fcf71805aa926c15 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable 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 <[email protected]> wrote: > > https://old.reddit.com/r/MachineLearning/comments/hrzooh/r_montecarlo_tre= e_search_as_regularized_policy/ > > > -- > Honesty is a very expensive gift. So, don't expect it from cheap people - > Warren Buffett=EF=BB=BF > http://tayek.com/ > > _______________________________________________ > Computer-go mailing list > [email protected] > http://computer-go.org/mailman/listinfo/computer-go > --000000000000fcf71805aa926c15 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><div>This looks very interesting.</div><div><br></div><div= >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?</div><div><br></div><div>I will take a deeper look later.<br></d= iv></div><br><div class=3D"gmail_quote"><div dir=3D"ltr" class=3D"gmail_att= r">On Thu, Jul 16, 2020 at 9:49 AM Ray Tayek <<a href=3D"mailto:rtayek@c= a.rr.com">[email protected]</a>> wrote:<br></div><blockquote class=3D"gma= il_quote" style=3D"margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,2= 04,204);padding-left:1ex"><a href=3D"https://old.reddit.com/r/MachineLearni= ng/comments/hrzooh/r_montecarlo_tree_search_as_regularized_policy/" rel=3D"= noreferrer" target=3D"_blank">https://old.reddit.com/r/MachineLearning/comm= ents/hrzooh/r_montecarlo_tree_search_as_regularized_policy/</a><br> <br> <br> -- <br> Honesty is a very expensive gift. So, don't expect it from cheap people= - Warren Buffett=EF=BB=BF<br> <a href=3D"http://tayek.com/" rel=3D"noreferrer" target=3D"_blank">http://t= ayek.com/</a><br> <br> _______________________________________________<br> Computer-go mailing list<br> <a href=3D"mailto:[email protected]" target=3D"_blank">Computer-g= [email protected]</a><br> <a href=3D"http://computer-go.org/mailman/listinfo/computer-go" rel=3D"nore= ferrer" target=3D"_blank">http://computer-go.org/mailman/listinfo/computer-= go</a><br> </blockquote></div> --000000000000fcf71805aa926c15-- --===============0926496959065895724== Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 7bit Content-Disposition: inline _______________________________________________ Computer-go mailing list [email protected] http://computer-go.org/mailman/listinfo/computer-go --===============0926496959065895724==--