Here is the link to the IGS promotion\demotion table. It is supposedly
the same as the old Otei system. I thought you might be interested in
noting that the higher you rank, the harder it is to advance:
http://www.pandanet.co.jp/English/ratingsystem/table.phtml
Michael
On 11/20/13 7:53 AM, Detlef Schmicker wrote:
Am Mittwoch, den 20.11.2013, 09:46 +0000 schrieb Nick Wedd:
On 20/11/2013 06:45, Detlef Schmicker wrote:
After turning off pondering in pachi the plot looks much more sensible:
http://physik.de/playouts.pdf
What is the relationship between "ELO" as shown on the graph, and Go
rating, in AGA or EGF terms?
I used the same relation between ELO and winrate as on CGOS
winrate=1/(1+10^(-ELO/400))
The reason why I did not plot winrate and why I plotted log(playouts,10)
is, that this seemed to be more or less linear.
The graph is made from 550 games with random number of playouts (exactly
spoken log(playouts) is equal distributed).
Than I fitted a 5th order polynom (least square)...
Detlef
Nick
I will now do some comparison with proportional increasing playouts in
pachi and oakfoam.
Detlef
Am Montag, den 18.11.2013, 21:11 +0100 schrieb Petr Baudis:
On Sun, Nov 17, 2013 at 03:11:22PM +0100, Erik van der Werf wrote:
make sure Pachi isn't doing any kind of pondering in the
background.
Indeed, Pachi will ponder by default. Turn pondering off by passing
pondering=0
on the commandline.
pachi -d 0 -t =4000 -r chinese threads=1,max_tree_size=2048
Also, it may be worth passing pass_all_alive unless you are doing a
sophisticated scoring procedure, to make sure Pachi captures all dead
groups at the end of the game.
P.S.: Do your results imply that on 4000 playouts/move, oakfoam is
quite stronger than Pachi now? I'd love to hear more. :) How does the
playout speed compare?
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