Hi, I had nothing to do this morning, so I hacked together a very rudimentary version of frisbee-twogtp. The GTP support is done by introducing three new commands: frisbee-play, frisbee-reg_genmove and frisbee-epsilon. I chose to add new commands for play and reg_genmove because of the shift in semantics, I think it is better than subtly change semantics of std. play and reg_genmove commands. I hope to make my own frisbee bot soon :-)
https://github.com/jmoudrik/frisbee-twogtp The purpose of frisbee-play is to support another special value - apart from PASS - and that is SKIP (meaning involuntary pass as has been used here). I feel that calling it something else than pass makes actually sense (and simplifies the terminology imo). The frisbee-reg_genmove behaves just like a normal genmove, except that bots might return incorrect moves (of course, hoping that it will land somewhere nice). To add to the discussion above, I think that this makes sense to allow, since e.g. for some rather high values of epsilon, the probability of landing on the center stone is small and "what if" the four neighbors would be some good moves - the condition to only return valid moves seems as having no real purpose. Of course, "return incorrect moves" at the beginning of the paragraph still means "on board", because adding support for deliberately aiming outside of board would require some coordinate-redefinition-fun. (But again, aiming outside of board seems to make some sense in some positions, one might want to play e.g. A1 which might have very high utility (killing a group), while landing at A2 might make the group alive, so expected utility of throwing at A0 might easily be better than throwing at A1 itself or A2). Regards, Josef On Thu, Apr 14, 2016 at 7:16 PM Gonçalo Mendes Ferreira <go...@sapo.pt> wrote: > Hm interesting question. > > komi > 8.0 49% > 7.5 50% > 7.0 51% > 3.5 56% > 1.5 58% > 1.0 60% > 0.5 61% > 0.0 61% > > Also these win rates do not include the probability of drawing. > > Gonçalo > > On 14/04/2016 18:08, "Ingo Althöfer" wrote: > > Hi Goncalo, > > > >> accuracy p > >> komi 0.5 0.2 > >> 7.5 31% 22% > >> 3.5 43% 36% > >> 1.5 48% 45% > >> 1.0 49% 47% > >> 0.5 51% 49% > >> 0.0 52% 51% > > > > Interesting. > > > > Concerning your bot in "normal" 9x9-Go: > > Which win rates do you get there for different komi values? > > > > Ingo. > > _______________________________________________ > > Computer-go mailing list > > Computer-go@computer-go.org > > http://computer-go.org/mailman/listinfo/computer-go > > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go
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