-go.org
Sent: Sat, Jan 16, 2010 12:55 pm
Subject: Re: [computer-go] scalability analysis with pachi
2010/1/15 dhillism...@netscape.net
Thank you for posting these interesting results There seems to be
a picture emerging that MCTS engines scale very well in self play, and
apparently against
computer-go@computer-go.org
Sent: Sat, Jan 16, 2010 12:55 pm
Subject: Re: [computer-go] scalability analysis with pachi
2010/1/15 dhillism...@netscape.net
Thank you for posting these interesting results There seems to be
a picture emerging that MCTS engines scale very well in self play
Yes. And while worrying about what happens after a win rate of 97%
sounds like splitting hairs, I think we're talking about an awkward
way of measuring something that's of practical interest.
Yes. How can a program be strong enough to win 97% and not win 100%.
Over on the fuego list Martin
2010/1/15 dhillism...@netscape.net
Thank you for posting these interesting results There seems to be a picture
emerging that MCTS engines scale very well in self play, and apparently
against other MCTS engines, but not so well against the non-MCTS version of
Gnugo.
- Dave Hillis
Do you
12:55 pm
Subject: Re: [computer-go] scalability analysis with pachi
2010/1/15 dhillism...@netscape.net
Thank you for posting these interesting results There seems to be a picture
emerging that MCTS engines scale very well in self play, and apparently against
other MCTS engines, but not so well
Gailly jl...@gailly.net
To: computer-go computer-go@computer-go.org
Sent: Thu, Jan 14, 2010 6:53 pm
Subject: [computer-go] scalability analysis with pachi
I did some 19x19 scalability experiments with pachi, written by Petr Baudis.
This was run on one machine using 15 out of 16 2.2 GHz cores
I did some 19x19 scalability experiments with pachi, written by Petr Baudis.
This was run on one machine using 15 out of 16 2.2 GHz cores, against
Fuego using 100K playouts on 15 cores of another machine. The results
are encouraging. Pachi's strength continues scaling linearly (in elo)
with each
