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
The artist certainly shows a lack of appreciation and respect for go.
Whoever created it, must think that go is already in the bag.
Stefan
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02, 2014 4:12 AM
To: computer-go@dvandva.org
Subject: Re: [Computer-go] ieee aticle about computer go by Jonathan Schaeffer
The artist certainly shows a lack of appreciation and respect for go.
Whoever created it, must think that go is already in the bag.
Stefan
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
great
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
here it is:
http://spectrum.ieee.org/robotics/artificial-intelligence/ais-have-mastered-chess-will-go-be-next
I found it well writted and you ?
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Hi!
On Tue, Jul 01, 2014 at 03:43:29PM +0200, Xavier Combelle wrote:
here it is:
http://spectrum.ieee.org/robotics/artificial-intelligence/ais-have-mastered-chess-will-go-be-next
I found it well writted and you ?
A nice article, thanks for sharing it! But the first image is like
Hi Petr,
A nice article, thanks for sharing it! But the first image is like
putting
http://www.cars-10.com/wp-content/uploads/2011/01/weird_car_design.jpg
as the title image of a (serious) article on Google's self-driving cars.
well observed. My interpretation: Computer-Go has
Nice banana car. But the picture in the article is an abomination.
What got me hooked on go, a quarter century ago, was the first look at a
real go position.
I immediately felt a rush, that told me this game trumps all I had come to
know before.
So I'm really very unwilling to forgive that shitty
I also reacted strongly negatively, but then a commenter mentioned that it was
supposed to look like a brain …
so while it did not look like real Go, it was supposed to look like the
computer had a brain. A weak attempt at multi-meaning art.
Cheers,
David G Doshay
ddos...@mac.com
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