Yamato wrote:
I guess the current top programs have much better playout policy than
the classical MoGo-style one.
The original policy of MoGo was,
(1) If the last move is an Atari, plays one saving move randomly.
(2) If there are interesting moves in the 8 positions around the
last move,
Strangely enough, today the network from the phils to boardspace.net
is so bad that even don's new configuration doesn't make up for the
additional network lag (though I think it alleviates the bot's pain).
With .2 seconds of thinking time, the net time detracted from
time_remaining is still
It might be possible to automatically compensate for lag by looking up the
geographic location of a bot's ISP. For instance via
http://www.hostip.info/use.html
https://webmail.planet.nl/exchweb/bin/redir.asp?URL=http://www.hostip.info/use.html
.
Dave
Van:
Gian-Carlo Pascutto wrote:
What improvements did you try? The obvious one I know are prioritizing
saving and capturing moves by the size of the string.
Zen appears quite strong on CGOS. Leela using the above system was
certainly weaker.
I use the static ladder search in playouts. For example,
Lazarus uses a system very simlar to the original MoGo policy as
documented in the paper. However I did find one significant
improvement.I used Rémi's ELO system to rate patterns and I simply
throw out moves which match the weakest patterns in the play-outs.In
the tree, I also throw out
Yamato wrote:
I finally improved my playouts by using Remi's ELO system to learn a set
of interesting patterns, and just randomly fiddling with the
probabilities (compressing/expanding) until something improved my
program in self-play with about +25%. Not a very satisfying method or an
It's interesting to look at a graphic plot of a traceroute
to see there the actual delays are. I use a program called
pingplotter for this, but there are many such programs.
Be warned though, that seeing a potential problem only leaves you
feeling helpless, since there is typically nothing you
Don Dailey wrote:
Lazarus uses a system very simlar to the original MoGo policy as
documented in the paper. However I did find one significant
improvement.I used Rémi's ELO system to rate patterns and I simply
throw out moves which match the weakest patterns in the play-outs.In
the tree,
