There is not much to achieve there though.
It is expected that an AI will be able to outplay a Human opponent simply
on micro tricks. Perfect single unit micromanagment across the entire map
can easily gain a large enough edge, that the strategic decision making
with imperfect information doesn't
There is even a decent site for those situations:
http://moralmachine.mit.edu/ (select language and then click "start
judging")
2017-10-31 7:55 GMT+01:00 Petri Pitkanen :
> and we can allways come up with bizarre situation like casualties insidet
> the vehicle vs
I don't mind your terminology, in fact I feel like it is a good way to
distinguish the two different things. It is just that I considiered one
thing wrongly used instead of the other for the discussion here.
But if we go with the link you are suggesting here:
Shouldnt that number at most be
And what is the connection between the number of "positions" and the number
of games or even solving games? In the game trees we do not care about
positions, but about situations. For the game tree it indeed matters whos
turn it is, which moves are legal, and if super-ko rules are used which
Under which ruleset is the 3^(n*n) a trivial upper bound for the number of
legal positions?
I'm sure there are rulesets, under which this bonds holds, but I doubt that
this can be considered trivial.
Under the in computer go more common rulesets this upper bound is simply
wrong. Unless we talk
unanswered self atari by White.
Does Leela have such light playouts that those groups can really flip
status in 60%+ of the MC-Evaluations?
2017-05-22 20:46 GMT+02:00 Marc Landgraf <mahrgel...@gmail.com>:
> Leela has surprisingly large tactical holes. Right now it is throwing a
> good numb
Leela has surprisingly large tactical holes. Right now it is throwing a
good number of games against me in completely won endgames by fumbling away
entirely alive groups.
As an example I attached one game of myself (3d), even vs Leela10 @7d. But
this really isn't a onetime occurence.
If you look
if you have an account at go4go, you can view them there, e.g. the Zen
games are here:
http://www.go4go.net/go/games/byplayer/1776
2017-03-24 17:55 GMT+01:00 Ray Tayek :
> any one got a pointer to these?
>
> thanks
>
>
> --
> Honesty is a very expensive gift. So, don't expect
And why would it be desirable that 'the big corporate players lose interest
to devote computer power'?
And who are those big corporate players? Deepmind? Who are not even selling
their bot? Or are you talking about CS/Zen who are having indeed financial
interests here?
What would be the benefit of
Well, the system i identical to that besides:
- there are 19 bonus points for winning (I really like that one...)
- it is capped at +40 an -40
But I do not think it is too interesting for bots right now mostly due to
lack of similar strengths bots. And while the GtI tourney does equalize
this
Hi,
I could suggest BadukCap, which I have seen reasonably good reviews for.
https://itunes.apple.com/de/app/baduk-cap/id896353586?mt=8 (it links the
German appstore, but should be available globally and has all kinds of
languages)
Best, Marc
2016-11-25 1:16 GMT+01:00 Hideki Kato
This GPL discussion just shows why we hardly ever get such amazing
insight... Which is pretty sad. :/ I hope it neither discourages the
FAIR team nor others from still publishing their stuff in the future.
2016-06-11 0:05 GMT+02:00 uurtamo :
> GPL is rough
>
> On Jun 10, 2016
Oh, this is great.
But one question: Will there be any updates/upgrades/patches for client
and/or engine?
Having it on Steam would finally give a convenient way to do so. This would
be a reason for me to buy it, hoping for it to change for the better. Or
will it just be a one release policy? Can't
When the AlphaGo hype was in full force, there were discussion about
similar matches in Japan and China. DeepZen vs Iyama and a bot by a
team/company called Novumind vs Ke Jie. Now the email adress for
reports about BetaGo links to exactly this Novumind.
So I would consider it as this Chinese
Goncalos were on 7th of April. Just copying them here:
---
On frisbee Go itself I used the following definition:
1. An intended play must be legal -- no playing on top of a stone hoping
it 'falls' to the neighbor positions.
2. Unintentional plays that are illegal are nulled and don't imply a
I still haven't seen an exactly specified ruleset for this game.
Goncalo made some assumptions earlier, which were not yet confirmed.
Also I would strongly recommend to not have any clearup-methods
allowed, but all positions have to be cleared up by "hand" and all
stones on the board in the end
What is the most interesting part is, that at this point many pro
commentators found a lot of aji, but did not find a "solution" for Lee
Sedol that broke AlphaGos position. So the question remains: Did
AlphaGo find a hole in it's own position and tried to dodge that? Was
it too strong for its own
Btw, is there any information on what hardware AlphaGo is running. And
how does it compare to the version used against Fan Hui?
2016-03-09 9:31 GMT+01:00 David Fotland :
> Many Faces thought alpha go was ahead most of the game. It looked to me
> like the turning point
It was pointed out by Lee Sedol after the game and Kim Myungwan during
the game, that Q5 should have been better at R4. I would say this was
the final stage of the middle game. The result from the game left Lee
Sedol with an unwinnable endgame. And "by resignation" is meaningless
here. It is just
What? You have mixed up things.
http://www.europeangodatabase.eu/EGD/Player_Card.php?=17374016
2016-02-02 20:21 GMT+01:00 Olivier Teytaud :
>>> If AlphaGo had lost at least one game, I'd understand how people can have
>>> an upper bound on its level, but with 5-0
You must be kidding about Lee Sedol.
Yes, he is not as dominating as before. (is it because he is weaker or
because the other ones got better?)
But he is still #3 in Korea having only dropped there this month,
being #2 for most of the last year. (btw overtaken by Park Younghoon,
who is not really
Why would they water down their Lee Sedol game by announcing another
game before their big game has even happened? No matter if that game
would be before or after.
Sounds like an awful PR strategy.
2016-02-01 2:51 GMT+01:00 uurtamo . :
> It might even be interesting if it took
for those looking for sgfs: http://deepmind.com/alpha-go.html
2016-01-27 19:25 GMT+01:00 Julian Schrittwieser :
> Actually the paper has been in the works for quite a while and was already
> set to be released today for some weeks.
> It seems a journalist reached out
http://wayt.synology.me/wordpress/1348-2/
no handicap
2016-01-27 17:42 GMT+01:00 John Tromp :
> > A member of the German forum said, that a French Go player reported on
> > Facebook, that Fan Hui lost 5 out of 5 games to the Google Go engine.
>
> To ask the obvious:
>
>
Google translate on the article tells, that there is no algorithm, but that
they combined human and computer power on a larger scale to explore all
variations. It can't be proven that the result is correct, but the
likelihood is ~100%.
2015-11-30 13:20 GMT+01:00 Erik van der Werf
Hi,
there is a question that lately crossed my mind. Considering an nxn Go
board, no suicide allowed and with a rule that does not allow repetition of
a position, unless caused by a single pass:
What is the maximum number of board positions that can be run through in a
single sequence starting
It is indeed very realistic and can be recreated in Go.
The issue is, that you are chopping of the tree at a fixed point and this
may heavily bias the the entire tree, if this point influences the playout.
Like imagine there is one big Atari in the entire game, but it can be
easily answered. If
then again, Gnugo donked that game pretty badly.
Showing one game, where Gnugo just throws away the entire top before move
50 is not really telling about the overall strength, imho. Gnugo repeats
the failure by suiciding the top right as well.
What is shown after is hard to evaluate, considering
I still like the idea of "1 Desktop/Notebook" for the lowspec category.
And what is the point? Comparability. How are you comparing your "research
results" if it is not clear, if the advantage comes from an hardware
advantage or from your newly developed algorithms? If tried to improve the
Heya,
I lately tried to think about, whether it would be possible to combine the
strengths of different bots, or at least different parameter sets/bias
systems for one bots in some way. They may shine at different
situations/phases during the game, but how to figure out, which one is
currently the
Out of curiosity...
In the picture you linked ( http://i59.tinypic.com/10cnu5c.jpg ), how does
your program read the position in the top left, considering the illegal
stone there?
Or does it not have any Go rules knowledge and leaves the interpretation to
the user? In that case it may create .sgf
I'm not convinced about that concept, tbh.
People put a lot of work to optimize their bots, include GPU usage and
figure out, how to use Pondering the best way. And then you want those
programmers to remove those features and put work into making their bots
run on your system, just to level the
32 matches
Mail list logo