valky...@phmp.se: <19f31e7e5cdf310b9afa91f577997...@phmp.se>:
>I think you misunderstood what I wrote,
>if perfect play on 9x9 is 6000 Elo, then if the value function is 3000
>Elo and MC eval is 2000 Elo with 1 second thinking time then it might
>be that the combination of a value function and M
I think you misunderstood what I wrote,
if perfect play on 9x9 is 6000 Elo, then if the value function is 3000
Elo and MC eval is 2000 Elo with 1 second thinking time then it might
be that the combination of a value function and MC eval ends up being
2700 Elo. It could also be that it ends up
DCNNs are not magic but just non-linear continuous function
approximators with finite freedom and we can provide up to
10^8 samples (board positions) in practice.
Why do most people believe VN can approximate (perfect or
near perfect) value function? What do they estimate the
complexity of th
game-independent
AlphaZero framework. I won't be using playouts in shogi, so I am focusing on
optimizing search without rollouts.
Rémi
- Mail original -
De: "Gian-Carlo Pascutto"
À: computer-go@computer-go.org
Envoyé: Lundi 5 Mars 2018 14:04:51
Objet: Re: [Computer-go] Crazy St
At 06:31 AM 3/5/2018, valky...@phmp.se wrote:
>My guess is that there is some kind of threshold depending on the relative
>strength of MC eval and the value function of the NN.
My experiments suggest it's better to train with much longer MCTS
time than will be used in actual play, so the MCTS va
My guess is that there is some kind of threshold depending on the
relative strength of MC eval and the value function of the NN.
If the value function is stronger than MC eval I would guess MCEval
turns into a bad noisy feature with little benefit.
Depending on how strong MC eval is this thre
On 5/03/2018 12:28, valky...@phmp.se wrote:
> Remi twittered more details here (see the discussion with gghideki:
>
> https://twitter.com/Remi_Coulom/status/969936332205318144
Thank you. So Remi gave up on rollouts as well. Interesting "difference
of opinion" there with Zen.
Last time I tested t
Remi twittered more details here (see the discussion with gghideki:
https://twitter.com/Remi_Coulom/status/969936332205318144
On 2018-03-05 10:16, Gian-Carlo Pascutto wrote:
On 28-02-18 07:13, Rémi Coulom wrote:
Hi,
I have just connected the newest version of Crazy Stone to CGOS. It
is base
On 28-02-18 07:13, Rémi Coulom wrote:
> Hi,
>
> I have just connected the newest version of Crazy Stone to CGOS. It
> is based on the AlphaZero approach.
In that regard, are you still using Monte Carlo playouts?
--
GCP
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Computer-go mailing list
Com
- Mail original -
> De: "David Wu"
> À: computer-go@computer-go.org
> Envoyé: Mercredi 28 Février 2018 20:04:11
> Objet: Re: [Computer-go] Crazy Stone is back
>
>
>
>
> It's not even just liberties and semeai, it's also eyes. Consider for
> e
--
De: "David Wu"
À: computer-go@computer-go.org
Envoyé: Mercredi 28 Février 2018 20:04:11
Objet: Re: [Computer-go] Crazy Stone is back
It's not even just liberties and semeai, it's also eyes. Consider for example a
large dragon that has miai for 2 eyes in distant location
--
De: "Hiroshi Yamashita"
À: computer-go@computer-go.org
Envoyé: Mercredi 28 Février 2018 23:24:02
Objet: Re: [Computer-go] Crazy Stone is back
Hi Remi,
Wow, "Weights" is your engine. So my guess was right :-)
In 9x9 CGOS, did you train in 9x9, or just use 19x19 network?
Weight
A guidline for CGOS users:
Do self-play to pick-up few strongest programs at your site
(never use CGOS for this purpose) and throw them into CGOS
to evaluate their ratings among others. Please note that
CGOS is the valueable shared resource for all developers.
#We (mainly Hiroshi and me) are
Hi Remi,
Wow, "Weights" is your engine. So my guess was right :-)
In 9x9 CGOS, did you train in 9x9, or just use 19x19 network?
Weights_33_400 is stronger than Weights_40_400.
Maybe it is because Weights_33_400 use CrazyStone's playout, and
Weights_40_400 does not use?
Thanks,
Hiroshi Yamashita
e as input helps, but it solves only
>> a small part of the problem. You can't read a semeai from just the
>> liberty-count information.
>>
>> I tried to be clever and find ways to propagate information along strings
>> in the network. But all the techniques I tried m
ate information along strings
> in the network. But all the techniques I tried make the network much
> slower. Adding more layers is simple and works.
>
> Rémi
>
> ----- Mail original -
> De: "Darren Cook"
> À: computer-go@computer-go.org
> Envoyé: Mercred
28 Février 2018 16:43:10
Objet: Re: [Computer-go] Crazy Stone is back
> Weights_31_3200 is 20 layers of 192, 3200 board evaluations per move
> (no random playout). But it still has difficulties with very long
> strings. My next network will be 40 layers of 256, like Master.
"lon
> Weights_31_3200 is 20 layers of 192, 3200 board evaluations per move
> (no random playout). But it still has difficulties with very long
> strings. My next network will be 40 layers of 256, like Master.
"long strings" here means solidly connected stones?
The 192 vs. 256 is the number of 3x3 co
- Mail original -
De: "Peter Wen"
À: computer-go@computer-go.org
Envoyé: Mercredi 28 Février 2018 14:38:01
Objet: Re: [Computer-go] Crazy Stone is back
Hi Hiroshi,
I've turned off half of the LZ instances and hopefully Hideki will run Zen
again. The various versions of Zen
Disclaimer: I only run the LZ-0xx-p1600-t1-r1 bots.
On Wed, Feb 28, 2018 at 8:38 AM, Peter Wen wrote:
> Hi Hiroshi,
>
> I've turned off half of the LZ instances and hopefully Hideki will run Zen
> again. The various versions of Zen were the most useful high ranking
> anchors on CGOS.
>
> There h
Hi Hiroshi,
I've turned off half of the LZ instances and hopefully Hideki will run Zen
again. The various versions of Zen were the most useful high ranking
anchors on CGOS.
There have been many changes to LZ's engine supposed to make it stronger,
so I'd like to know if the ratings are actually di
No Zen on CGOS is pity.
To LZ-0xx-p1600-t1-r1 author,
I think LZ-073-p1600-t1-r1 has BayesElo already.
From LeelaZero page,
73 2018-02-05 23:0654bfb7b8
LZ-54bfb7-t1-p1600, BayesElo is 2903.
Recalculating CGOS rating is not essential.
And too many same kind bots running makes many s
Welcome back Remi!
On the 19x19 cgos, recently many LeelaZeros are running.
This flood is making CGOS less useful and so I'll reconnect
Zen after the flooding ends. Sorry for inconvinience.
Hideki
Remi Coulom:
<1656424330.7641525.1519798424452.javamail.r...@spooler6-g27.priv.proxad.net>:
>H
I've been on a forced break from go programming since last August, but I hope
to get back to it soon.
David
-Original Message-
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of
Rémi Coulom
Sent: Tuesday, February 27, 2018 10:14 PM
To: computer-go@computer-go.or
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