Re: [Computer-go] AMAF/RAVE + heavy playouts - is it save?

You are welcome. Figure 1 in [2] is the diagram I was thinking of. On 03-Nov-15 20:39, Tobias Pfeiffer wrote: This helps very much, thank you for taking the time to answer! You might be looking for for "Combining Online and

Re: [Computer-go] Komi 6.5/7.5

I have repeatedly seen people assert that komi must be different for players of different skill levels, and have repeatedly questioned it, but I have never seen anyone try to substantiate the claim. People who believe it find it obvious, but I don't. There are two pieces of evidence that I can

Re: [Computer-go] Komi 6.5/7.5

Many years ago, when "auction komi" was tried out at a London Open Go tournament, I collected statistics on what the winning komi bid was among players of various strengths. There was a positive correlation between playing strength and komi. Of course this does not answer the question, it just

Re: [Computer-go] Komi 6.5/7.5

I do doubt that there is sufficient data available on Go as it is not popular enough. But lets face it 7 points guaranteed profit is way easier to utilize than initiative. For chess it clearly visible quotation from wikipedia "database between players with similar Elo ratings, commissioned by GM

Re: [Computer-go] Komi 6.5/7.5

On Nov 5, 2015, at 4:44 AM, Nick Wedd wrote: > However, there's a powerful counterargument to the above I can put the first > black stone on the board as well as any professional can. And now, assuming I > am playing an equally weak human, it's White who suffers most from

Re: [Computer-go] Komi 6.5/7.5

On Thu, Nov 05, 2015 at 09:03:38AM +0200, Petri Pitkanen wrote: > 2015-11-05 0:04 GMT+02:00 Hideki Kato : > > > The correct komi value assuming both players are perfect. Or, black > > utilize his advantage (maybe in an early stage) perfectly. Actual > > players, even

[Computer-go] Feature training with "offset"

-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hi, I would like to train features like in http://www.remi-coulom.fr/Amsterdam2007/ but using DCNN probabilities as an additional not trained gamma, which is always present. Did anybody try using an additional not trained gamma (not necessarily

Re: [Computer-go] Komi 6.5/7.5

I agree with Robert. 7 is still a hot candidate for all board sizes. Stefan ___ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go

Re: [Computer-go] Komi 6.5/7.5

Wrong kind of information if the issue is komi(or white win rate) vs streng. EGD seems to have something but with grabby interface. So to get any meaninfull data one would have request Nothing as useful as chess-results http://www.chess-results.com/tnr184639.aspx?lan=1=2=1=821 exists where a

[Computer-go] CoDIT'16-Malta: CFP & Call for Special Sessions Proposal

Dear colleagues This an invitation to participate in the 3rd International Conference onControl, Decision and Information Technologies, to be held in Malta,on April 6-8, 2016.  Website: www.codit2016.com   CFP ( http://codit2016.com/CFP-CoDIT2016.pdf )  Paperspresented will be published on

Re: [Computer-go] Komi 6.5/7.5

Of course. You always use win rate, never margin for that type of analysis. On Nov 5, 2015, at 9:57 AM, Darren Cook wrote: >> Of course, that's anecdata...anyone is welcome to prove or disprove this >> old claim by analyzing the stats on KGS, or Tygem or wherever else. > >

Re: [Computer-go] Facebook Go AI

Hi, I tried darkforest by using Aya. darkforest is 0-3 against 2d bot. (AyaMC2) (0 wins, 3 losses) darkforest is 1-4 against 1k bot. (AyaBot4) darkfores1 is 1-3 against 1k bot. (AyaBot4) It looks like darkforest is 1k or 2k. It plays very quickly, and plays ko very well. But sometimes it fails

Re: [Computer-go] Komi 6.5/7.5

We know the true values for some small boards that were solved, and what some strong human players believed those values should be before they were solved. I think that for all cases the humans where either correct, or under-estimating. I don't remember any over-estimations. Here are some cases

Re: [Computer-go] Komi 6.5/7.5

On Thu, Nov 05, 2015 at 02:42:20PM +0200, Petri Pitkanen wrote: > I do doubt that there is sufficient data available on Go as it is not > popular enough. How much data is enough? The games from KGS alone ought to be in millions, and even EGD must carry at least tens of thousands of serious

Re: [Computer-go] Komi 6.5/7.5

Of course. You always use win rate, never margin for that type of analysis. Problem is, this is not relevant unless we have games with different komi. The winrate depends as much on the width of the distribution as on the median. Hence for weak players, it may go closer to 50%, even if the

Re: [Computer-go] Komi 6.5/7.5

and in Go one move advantage need that your 1st pro-level mode works together with your subsequent non-pro-moves 2015-11-05 14:55 GMT+02:00 Christoph Birk : > > On Nov 5, 2015, at 4:44 AM, Nick Wedd wrote: > > However, there's a powerful