Thank you for the enlightening explanation. It actually explains more than
the explainers may wish to convey. My condolences to you for having that
innovative visual opener foisted on your fine article.
Stefan
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Determining the best move is tricky, however. The most natural
approach would be to pick the move with the highest probability of
leading to a win. But this is usually too risky. For example, a move
with 7 wins out of 10 trials may have the highest odds of winning (70
percent), but because
On Thu, Jul 3, 2014 at 9:00 AM, Darren Cook dar...@dcook.org wrote:
If you had a choice between a 1% 65,000-wins move and a 70% 7-wins move,
MCTS will keep exploring the 70% move, until it either reaches 65,001
wins, and can be chosen, or the winning percentage comes down to 1% also.
BTW,
On Thu, Jul 03, 2014 at 10:57:17AM +0200, Stefan Kaitschick wrote:
On Thu, Jul 3, 2014 at 9:00 AM, Darren Cook dar...@dcook.org wrote:
If you had a choice between a 1% 65,000-wins move and a 70% 7-wins move,
MCTS will keep exploring the 70% move, until it either reaches 65,001
wins, and
My original example was unrealistic and on the extreme side to make a point.
However if there are nodes with say 7/10, 12/20, and 50/100 how should they be
ranked? In some sense, the first one seems promising since we've only searched
just a few nodes, yet we are mainly seeing wins (granted,
On 06/30/2014 01:52 PM, Christoph Birk wrote:
On 06/23/2014 02:08 PM, Joshua Shriver wrote:
I'm migrating between two servers with different IP's so cgos will be
down while DNS records are updated worldwide.
I still cannot connect to 'cgos.computergo.org'
The connection has timed out
The
Hi Martin, hi all,
during the European Go Congress 2012 in Bonn, I was able to
buy a very nice drawing by Tanja Esser, visualising the
difference between Monte Carlo- and human go.
http://www.althofer.de/aesthetics-beyond/go--tanja-esser.jpg
If someone wants to use this motif for some
It is a great article overall. I would like it more if it mentions Mogo, at
least Follow from the opponent's previous move was actually Mogo's
invention in the famous UCT paper, not Fuego's, not to mention a lot of
Mogo's achievements on 9x9. But I really like the paragraph describing the
On Thu, Jul 03, 2014 at 06:18:32AM -0700, Greg Schmidt wrote:
Perhaps there is an argument that the UCB formula won't generally let this
happen since it takes into consideration both win rate and tries to increase
confidence by promoting the visit of nodes with low visit counts. Still, I
Hi Martin,
2014-07-03 22:02 GMT+01:00 Martin Mueller mmuel...@ualberta.ca:
We certainly didn’t mean to short-change the MoGo team's or anybody else’s
contribution. For this article there were two main points:
- try to explain as much as possible how things work in a current program
- have
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