Thanks Petr,

I'm now running AmiGoGtp on CGOS, too. I think that's enough bots on my
machine for now. Hopefully, the bot will be strong enough soon enough to
make that work.

Urban

On Mon, Mar 9, 2015 at 11:01 AM, Petr Baudis <pa...@ucw.cz> wrote:

>   Hi!
>
> On Mon, Mar 09, 2015 at 10:08:04AM +0100, Urban Hafner wrote:
> > I'm currently running Brown (random bot) and GnuGo on CGOS 13x13. Mainly
> to
> > get a feel for the strength of my own bot. And my bot is really bad. ;)
> So
> > bad that it looses all games against GnuGo, but wins all games against
> > Brown. So, the rating is a bit useless I assume as there are no bots that
> > are in strength between GnuGo and the random player. Are there any bots
> in
> > that range out there? I'd be willing to run them myself on CGOS.
>
>   What about libego?  That used to be a pretty basic MCTS.
>
>   Or you could try running a "super-weak Pachi":
>
> > Pachi can be used as a test opponent for development of other go-playing
> > programs. For example, to get the "plainest UCT" player, use:
> >
> >         ./pachi -t =5000
> policy=ucb1,playout=light,prior=eqex=0,dynkomi=none,pondering=0,pass_all_alive
> (see "Experiments and Testing" section in README for more details)
>
>   This is plain UCT with light playouts and no move priors. If you just
> implemented the basic algorithms, your program should be equal or better
> than this.
>
>   (Of course you can then gradually enable some pieces, or even just
> some of the priors/playout heuristics.  I'd recommend implementing, in
> the order of priority, captures and 3x3 patterns in playouts, priors for
> the same in the tree, and RAVE.  Don't bother tuning things too much
> before having RAVE as that is a big game-changer; but it probably won't
> work well without at least the playout heuristics I mentioned.)
>
> --
>                                 Petr Baudis
>         If you do not work on an important problem, it's unlikely
>         you'll do important work.  -- R. Hamming
>         http://www.cs.virginia.edu/~robins/YouAndYourResearch.html
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-- 
Blog: http://bettong.net/
Twitter: https://twitter.com/ujh
Homepage: http://www.urbanhafner.com/
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