Search found 14 matches
- Sun Jun 23, 2024 7:32 pm
- Forum: Computer Go
- Topic: Installing Lizzie, Leela-zero and KataGo on a new PC.
- Replies: 4
- Views: 15853
Re: Installing Lizzie, Leela-zero and KataGo on a new PC.
The attempt to build leela-zero resulted in various incomprehensible errors, of
which the last is shown below. A leelaz binary is left behind, but cannot be
tested.
Disable Werror in /gtest/googletest/cmake/internal_utils.cmake
# set(cxx_base_flags "-Wall -Wshadow -Werror")
The attempt ...
- Sun Nov 08, 2020 9:12 pm
- Forum: Computer Go
- Topic: search algorithm, horizontal communication
- Replies: 7
- Views: 11244
Re: search algorithm, horizontal communication
I am interested in a different question, which is whether RAVE makes leela zero a better analyst for reviews. One problem with good players as analysts is sharp policy. It is not at all unusual for humans to come up with good candidate moves that sharp policy overlooks, but which arguably a good ...
- Thu Nov 05, 2020 5:14 am
- Forum: Computer Go
- Topic: search algorithm, horizontal communication
- Replies: 7
- Views: 11244
Re: search algorithm, horizontal communication
RAVE wasn't good for leela zero. It seems that RAVE improves value a bit in few POs, but it spoils sharp policy.
https://github.com/zakki/leela-zero/commits/rave
https://github.com/zakki/leela-zero/commits/rave
- Thu Dec 20, 2018 7:17 pm
- Forum: Computer Go
- Topic: LZ's progression
- Replies: 417
- Views: 310146
Re: LZ's progression
Sometime RLO plays PASS at losing game, because they cannot find any good move, but win rate is bigger than a resign threshold.
- Mon Sep 17, 2018 9:45 pm
- Forum: Computer Go
- Topic: Compiling some engines for linux
- Replies: 25
- Views: 32580
Re: Compiling some engines for linux
@zakki, can you explain how using Ray with LZ weights is different from using LZ with the same weights?
RLO is experimental branch to understand how AlphaGo Zero style policy and value network behave, and to experiment integrating monte carlo playout to AGZ's dual network.
It has some advantage ...
RLO is experimental branch to understand how AlphaGo Zero style policy and value network behave, and to experiment integrating monte carlo playout to AGZ's dual network.
It has some advantage ...
- Wed Sep 12, 2018 2:58 am
- Forum: Computer Go
- Topic: Compiling some engines for linux
- Replies: 25
- Views: 32580
Re: Compiling some engines for linux
Ray
I haven't been able to crack that one neither, but the latest version does not use CNTK/CUDA any more and now uses OpenCL. This was confirmed by the developer . The make file only needs to be updated apparently.
Unfortunately that is not actually true. I've just downloaded the most recent ...
I haven't been able to crack that one neither, but the latest version does not use CNTK/CUDA any more and now uses OpenCL. This was confirmed by the developer . The make file only needs to be updated apparently.
Unfortunately that is not actually true. I've just downloaded the most recent ...
- Mon Jan 29, 2018 11:37 pm
- Forum: Computer Go
- Topic: Engine Tournament
- Replies: 401
- Views: 712260
Re: Engine Tournament
I usually use Windows, and Rn has no maintainer on Linux.
Pull requests is welcomed.
Pull requests is welcomed.
- Thu Aug 31, 2017 6:07 am
- Forum: Computer Go
- Topic: rn-4.2.5 how to use
- Replies: 21
- Views: 18323
Re: rn-4.2.5 how to use
Rn requires CNTK 2.1 now.
- Tue Aug 22, 2017 5:16 am
- Forum: Computer Go
- Topic: Distributed neural network training?
- Replies: 4
- Views: 5832
Re: Distributed neural network training?
AlphaGo uses 30000000 games.
But now 1600000 human games without random moves and 1440000 aya games with random move are available.
Rayn (and other programs) needs high quality 10x amount of games.
But now 1600000 human games without random moves and 1440000 aya games with random move are available.
Rayn (and other programs) needs high quality 10x amount of games.
- Mon Aug 21, 2017 6:59 am
- Forum: Computer Go
- Topic: Distributed neural network training?
- Replies: 4
- Views: 5832
Re: Distributed neural network training?
I think architecture like Folding@home is suitable to generate millions of self-play game, rather than training neural network.
- Wed Jun 07, 2017 8:28 pm
- Forum: Computer Go
- Topic: rn-4.2.5 how to use
- Replies: 21
- Views: 18323
Re: rn-4.2.5 how to use
Perhaps g++-4.8 or is needed.
https://github.com/zakki/Ray/issues/8
Code: Select all
-D _GLIBCXX_USE_CXX11_ABI=0https://github.com/zakki/Ray/issues/8
- Wed Mar 01, 2017 8:41 pm
- Forum: Computer Go
- Topic: Rayon (rn-3.9) is the strongest open source go AI
- Replies: 96
- Views: 72510
Re: Rayon (rn-3.9) is the strongest open source go AI
Hey, I see Rayon can organize its timing with "--time" flag. Can you implement this as GTP commands, so we can use the GUIs (Drago here) interface for setting time controls? Thx for the engine.
A comparison Leela/Rayon, how can matches be fair? I'd like to have them calculate a fixed time per move ...
A comparison Leela/Rayon, how can matches be fair? I'd like to have them calculate a fixed time per move ...
- Fri Feb 24, 2017 6:26 am
- Forum: Computer Go
- Topic: Rayon (rn-3.9) is the strongest open source go AI
- Replies: 96
- Views: 72510
Re: Rayon (rn-3.9) is the strongest open source go AI
Perhaps you need to link libeval like .
Code: Select all
-L<cntk lib dir> -leval- Wed Feb 22, 2017 5:15 am
- Forum: Computer Go
- Topic: Rayon (rn-3.9) is the strongest open source go AI
- Replies: 96
- Views: 72510
Re: Rayon (rn-3.9) is the strongest open source go AI
Rn.3.3.1-4c0g doesn't use gpu. http://www.yss-aya.com/cgos/19x19/cross ... -4c0g.html
Other Rn.xx-4c uses i7-2600K (or 6700K) + GTX980ti
Other Rn.xx-4c uses i7-2600K (or 6700K) + GTX980ti