>
> So I believe a better approach is a heavy playout approach with NO
> tree. Instead, rules would evolve based on knowledge learned from each
> playout - rules that would eventually move uniformly random moves into
> highly directed ones. All-moves-as-first teaches us that in the
> general
Mark Boon wrote:
>
> On 1-apr-08, at 17:37, Don Dailey wrote:
>> That's partly why I'm interested in exploring "on the fly" leaning.
>> Learning outside the context of the position being played may not have
>> much relevance.
>
> That would be most interesting indeed. I'd like to try but keep
> r
> > By contrast, you
> > should test (in the tree) a kind of move that is either good or average,
> > but not either average or bad, even if it's the same amount of
> > information. In the tree, you look for the best move. Near the root at
> > least; when going deeper and the evaluation being less
On Wed, Apr 02, 2008 at 02:13:45PM +0100, Jacques Basaldúa wrote:
> Jonas Kahn wrote:
>
> > I guess you have checked that with your rules for getting probability
> > distributions out of gammas, the mean of the probability of your move 1
> > was that that you observed (about 40 %) ?
>
> If I unders
On 1-apr-08, at 17:37, Don Dailey wrote:
That's partly why I'm interested in exploring "on the fly" leaning.
Learning outside the context of the position being played may not have
much relevance.
That would be most interesting indeed. I'd like to try but keep
running into obstacles.
For ex
Jonas Kahn wrote:
> I guess you have checked that with your rules for getting probability
> distributions out of gammas, the mean of the probability of your move 1
> was that that you observed (about 40 %) ?
If I understand your post, there may be a misunderstanding by my fault.
Here gamma is no
On Tue, 2008-04-01 at 15:18 -0400, Joshua Shriver wrote:
> Do you have a link to those papers?
There is still one listed on the computer go bibliograpy:
http://www.cs.ualberta.ca/~games/go/compgo_biblio/
The links don't seem to work, so I set up a copy here:
http://nngs.ziar.net/cgml/gotxt/kojim
