Re: [Computer-go] List problem ...

2019-03-31 Thread Thomas Rohde
On 2019-03-29 at 06:19, Ingo Althöfer <3-hirn-ver...@gmx.de> wrote with subject 
“[Computer-go] List problem ...”:

> Indeed, our maioing list has a severy problem. I also
> do not get mails any longer, but have to look up
> in the archive always.

odd, I still seem to get all list mails.

But I do wonder why the list mail headers say this:

> To: Brian Sheppard via Computer-go  
> Reply-To: Brian Sheppard via Computer-go 

(I changed it in this my reply)


Cordially,
Tom
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[Computer-go] List problem ...

2019-03-31 Thread Ingo Althöfer
Dear Hiroshi,

thanks for your interesting recent postings on the AlphaZero paper(s).
I think referees told them to back their claims by more data.
So the paper has larger test runs than the arxiv preprint.

**

Indeed, our maioing list has a severy problem. I also
do not get mails any longer, but have to look up
in the archive always.

Ingo.
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[Computer-go] AlphaZero paper difference between 2017 and 2018

2019-03-31 Thread Hiroshi Yamashita

Hi,

Number of learned positions from a game record

 pos steps  minibatch   games
AlphaGoZero  293 (  700,000 * 2048) /   4,900,000 3 days
AlphaGoZero  219 (3,100,000 * 2048) /  29,000,000256 x 40 block, 40 days
AlphaZero 2017   137 (  700,000 * 4096) /  21,000,000
AlphaZero 201820 (  700,000 * 4096) / 140,000,000
ELF 2019 154 (1,500,000 * 2048) /  20,000,000
AlphaZero(Chess)  65 (  700,000 * 4096) /  44,000,000
AlphaZero(Shogi) 119 (  700,000 * 4096) /  24,000,000

All Network is 256 x 20 blocks, except AlphaGoZero 40 days.

Average of game moves are
Go220
Chess  80
Shogi 120

So I had thought learning all positions(from a game) once is nice.
But AlphaZero2018 uses only 20 positions from a game.


By the way, I did not received any mails since Ingo's mail(Mar 1 2019).

Erik reported in Feb 17 2019,

It looks like gmail is broken again for this list. I never got Remi's


Remi also reported in Mar 24 2019. (I found this from archives.)

I have just found out that the list is not sending emails to my free.fr


Thanks,
Hiroshi Yamashita
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[Computer-go] codecentric Freestyle League: Round 6

2019-03-31 Thread Ingo Althöfer
Hello,
tension is grwoing high in the German Freestyle League.
Next Wednesday round 6 is played on KGS in room "Deutsch Ecke".
Spectators are welcome, with comments in any language.

Currently Paderborn (Oktgopus) is leading with 8:0,
ahead of Darmstadt and Karlsruhe (8:2 each).

The pairings in round 6 are:
Saargenhaft - Chris the Brain & Friends
Karlsruher Allerlei - Oldenburger Ozas
DeepGreen (Darmstadt) - Oktgopus  (a night of truth)

Paderborn, Darmstadt, and Karlsruhe each are still
able to win the League out of own power.

https://www.althofer.de/codecentric-freistil.html

Ingo.
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[Computer-go] [CFP] Competition and Benchmark Track at 2019 IEEE Conference on Games (former IEEE CIG)

2019-03-31 Thread Jialin Liu
Dear all,

Apologies for cross posting. I just wanted to draw your attention to the
``Competition and Benchmark'' track at this year's IEEE Conference on Games
(http://ieee-cog.org/).

This track invites submissions where the main topic is a game or
game-related benchmark or competition. Submission can be new competition
proposals, novel approaches to existing competitions, or critical
commentary on competitions.

Topics include but are not limited to the following:

   - Evaluation of AI agents.
   - Machine learning related to games (e.g. for predicting player or AI
   behaviour).
   - Learning forward models.
   - Assessment of procedural content generators.
   - Analysis tools for existing competitions.
   - Game Competitions to more general AI.

If you are working on, organizing, or planning a competition and you want
to write a scientific paper about it, this could be a good venue for it.


*The deadline for short, vision, demo and COMPETITION papers is the 14th of
May, 2019. *

Have a look, and best regards, and possibly see you in London.

Christoph Salge & Jialin Liu
Competition and Benchmark Track Chairs
The 2019 IEEE Conference on Games
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[Computer-go] AlphaZero paper difference between 2017 and 2018

2019-03-31 Thread Hiroshi Yamashita

Hi,

I found AlphaZero paper Table S3 is different 2017 and 2018.


   2017  2018
Mini-batches   700k  700k
Training Time   34h   13d
Training Games  21 million   140 million
Thinking Time  800 sims, 200ms   800 sims, 200ms


Training Time  is  34h ->13d 9.2 times
Training Games is  21 million  ->   140 million  6.6 times

Chess and Shogi is same.
And Figure 1 is also a bit different in Shogi and Go. Chess looks same.

Why these numbers are so different? Is it typo?


AlphaZero(2017/12/05)
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning 
Algorithm
https://arxiv.org/abs/1712.01815

AlphaZero(2018/12/07)
A general reinforcement learning algorithm that masters chess, shogi, and Go 
through self-play
https://deepmind.com/documents/260/alphazero_preprint.pdf

Thanks,
Hiroshi Yamashita
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