Someone recently asked about regression testing, and methods of expressing the
expected results.
Unfortunately, I can't find the post in question.
The GnuGo regression suite appears to encode expected results in the .sgf file;
here is an example:
$ cat Goemate990902-1.sgf
(;N[Goemate990902-1.
On 1-dec-08, at 18:55, Olivier Teytaud wrote:
I think it's now well known that Mogo doesn't use UCT.
I realize that i have no idea at all what Mogo do use for
it's MCTS.
A complicated formula mixing
(i) patterns (ii) rules (iii) rave values (iv) online statistics
Isn't that technically st
> I think it's now well known that Mogo doesn't use UCT.
> I realize that i have no idea at all what Mogo do use for
> it's MCTS.
A complicated formula mixing
(i) patterns (ii) rules (iii) rave values (iv) online statistics
Also we have a little learning (i.e. late parts of simulations
are evolv
The December 2008 KGS computer Go tournament will be this Sunday,
December 12t7 in the Asian evening, European morning and American night,
starting at 08:00 UTC (GMT) and ending soon after 12:00 UTC (GMT).
The Formal division will be a 12-round Swiss with 9x9 boards and 8
minutes main time. T
Let's assume that the UCT formula is
UCTValue(parent, n) = winrate + sqrt((ln(parent.visits))/(5*n.nodevisits))
(taken from sensei library)
What is the Upper confidence bound term ? That would'nt be
sqrt((ln(parent.visits))/(5*n.nodevisits)) ??
I doubt that exploring only the move with the
When unspecified always assume the natural logarithm.
For UCT this does not really matter; only a different tuning constant.
log10(x) == ln(x) / ln(10)
Erik
On Mon, Dec 1, 2008 at 3:22 PM, Mark Boon <[EMAIL PROTECTED]> wrote:
> Just now I realized that I'm using the standard Java Math.log() fu
Just now I realized that I'm using the standard Java Math.log()
function in places where it computes the log(visits). In Java, this
log() function is actually the logarithm of base e, which I suppose
is normally actually written as ln(). When I read articles about UCT
and it says log(), doe
On Dec 1, 2008, at 3:38 AM, Denis fidaali <[EMAIL PROTECTED]>
wrote:
I think it's now well known that Mogo doesn't use UCT.
I realize that i have no idea at all what Mogo do use for
it's MCTS.
There are only two things i dislike about UCT :
- It's slow to compute.
- It's deterministic
I r
On Dec 1, 2008, at 12:23 AM, Mark Boon <[EMAIL PROTECTED]> wrote:
On 30-nov-08, at 16:51, Jason House wrote:
You've claimed to be non-statistical, so I'm hoping the following
is useful... You can compute the likelihood that you made an
improvement as:
erf(# of standard deviations)
Where
I think it's now well known that Mogo doesn't use UCT.
I realize that i have no idea at all what Mogo do use for
it's MCTS.
There are only two things i dislike about UCT :
- It's slow to compute.
- It's deterministic
I really wonder if there was an article describing
the new MCTS of mogo some
10 matches
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