q30 wrote:No, Leela has up to 2 min/move (see twogtp.jar parameters) and Hiratuka, how I had written, has 1 min/move...
That's why I'm asking: "gogui-twogtp.jar -time 1s+2/1"
q30 wrote:No, Leela has up to 2 min/move (see twogtp.jar parameters) and Hiratuka, how I had written, has 1 min/move...
Code: Select all
1. Leela 0.10.0 18/20
2. Rayon 4.6.0 15/20
3. Oakfoam 0.2.1 NG-06 14/20
4. DarkForest v2 MCTS 1.0 7/20
5. Hiratuka 10.37B (CPU) 6/20
6. Pachi 11.99 0/20Code: Select all
1. Pachi 11.99 23/24
2. MoGo 4.86 19/24
3. deltaGo 1.0.0 14/24
4. Fuego 1.1 13/24
5. Michi C-2 1.4.2 8/24
6. Orego 7.08 5/24
7. GNU Go 3.8 2/24Code: Select all
1. GNU Go 3.8 24/28
2. Hara 0.9 18/28
3. Dariush 3.1.5.7 16/28
4. Indigo 2009 15/28
5. Matilda 1.24 15/28
6. Aya 6.34 11/28
7. Fudo Go 3.0 11/28
8. JrefBot 081016-2022 2/28Code: Select all
1. JrefBot 081016-2022 25/28
2. Iomrascálaí 0.3.2 21/28
3. Crazy Patterns 0008-13 19/28
4. Marcos Go 1.0 18/28
5. AmiGo 1.8 16/28
6. Stop 0.9-005 6/28
7. CopyBot 0.1 4/28
8. Brown 1.0 3/28Cyan wrote:Please add DarkGo! It's a neural network at around 1d level.
https://pjreddie.com/darknet/darkgo-go-in-darknet/
How to run in GTP: https://groups.google.com/forum/#!topic ... BNZTkMmUHI
Also you can try Hiratuka 10.38B since you're using GPU anyway.
Pachi can use neural networks as well, if you're not using them already.
https://github.com/pasky/pachi
You're welcome! Also are you making sure that the programs are using as close to two hours as possible? For example you can add the argument -t _7200 to pachi to tell it to use two hours. I've noticed that in gogui-twogtp you're giving the engines two hours (i.e. -time 120) but you're only giving ray one hour (i.e. --time 3600). FYI rn-4.6.1 has just been released.as0770 wrote:Thanks for the hints, I had Pachi with neural networks on my list but I wasn't aware of DarkGo.
Unfortunately Hiratuka 10.38B doesn't run on my Linux machine because of a cuda error...
I use Ray without the --time 3600 argument, it was a typo in the configuration section and I just corrected it. Ray and Pachi seem to work well with the gtp time command, I observe all games also in matter of time consumption. The engines with fixed playouts use in average 48 seconds per move after 50-100 moves. For the games against DarkForrest I measure how much each engine is slowed down by the CPU usage of DarkForrest and give it more time. So I think it is as fair as possibleCyan wrote:Also are you making sure that the programs are using as close to two hours as possible? For example you can add the argument -t _7200 to pachi to tell it to use two hours. I've noticed that in gogui-twogtp you're giving the engines two hours (i.e. -time 120) but you're only giving ray one hour (i.e. --time 3600). FYI rn-4.6.1 has just been released.
Code: Select all
1. Leela 0.10.0 22/24
2. Rayon 4.6.0 19/24
3. Oakfoam 0.2.1 NG-06 18/24
4. Hiratuka 10.37B (CPU) 10/24
5. DarkForest v2 MCTS 1.0 7/24
6 DarkGo 1.0 5/24
7. Pachi 11.99 3/24
Code: Select all
1. Pachi 11.99 23/24
2. MoGo 4.86 19/24
3. deltaGo 1.0.0 14/24
4. Fuego 1.1 13/24
5. Michi C-2 1.4.2 8/24
6. Orego 7.08 5/24
7. GNU Go 3.8 2/24Code: Select all
1. GNU Go 3.8 24/28
2. Hara 0.9 18/28
3. Dariush 3.1.5.7 16/28
4. Indigo 2009 15/28
5. Matilda 1.24 15/28
6. Aya 6.34 11/28
7. Fudo Go 3.0 11/28
8. JrefBot 081016-2022 2/28Code: Select all
1. JrefBot 081016-2022 25/28
2. Iomrascálaí 0.3.2 21/28
3. Crazy Patterns 0008-13 19/28
4. Marcos Go 1.0 18/28
5. AmiGo 1.8 16/28
6. Stop 0.9-005 6/28
7. CopyBot 0.1 4/28
8. Brown 1.0 3/28Code: Select all
1. Leela 0.10.0 22/24
2. Rayon 4.6.0 19/24
3. Oakfoam 0.2.1 NG-06 18/24
4. Hiratuka 10.37B (CPU) 9/24
5. DarkForest v2 MCTS 1.0 7/24
6 DarkGo 1.0 5/24
7. Pachi DCNN 11.99 4/24
Code: Select all
1. Pachi 11.99 23/24
2. MoGo 4.86 19/24
3. deltaGo 1.0.0 14/24
4. Fuego 1.1 13/24
5. Michi C-2 1.4.2 8/24
6. Orego 7.08 5/24
7. GNU Go 3.8 2/24Code: Select all
1. GNU Go 3.8 24/28
2. Hara 0.9 18/28
3. Dariush 3.1.5.7 16/28
4. Indigo 2009 15/28
5. Matilda 1.24 15/28
6. Aya 6.34 11/28
7. Fudo Go 3.0 11/28
8. JrefBot 081016-2022 2/28Code: Select all
1. JrefBot 081016-2022 25/28
2. Iomrascálaí 0.3.2 21/28
3. Crazy Patterns 0008-13 19/28
4. Marcos Go 1.0 18/28
5. AmiGo 1.8 16/28
6. Stop 0.9-005 6/28
7. CopyBot 0.1 4/28
8. Brown 1.0 3/28I had problems running later versions because of similar problems. v7.08 works by adding:Shoreline wrote:How do you guys gets the Orego 7.08 running?
I downloaded Jar file, unziped, or downloaded the 7.14 version release and javac compiled with no erros. However,
I can not get the software running in linux Ubuntu 14.04. Erros:
java -ea -Xmx1024M edu.lclark.orego.ui.Orego
Error: Could not find or load main class edu.lclark.orego.ui.Orego
No matter how I switched to src folder, or change to localhost.Orego or just Orego, it does not run
Thanks, I got it running like you said. However, I found it is very weak bot at 19x19. How come this Orego 7.08 ranks so high against gnugo?as0770 wrote:I had problems running later versions because of similar problems. v7.08 works by adding:Shoreline wrote:How do you guys gets the Orego 7.08 running?
I downloaded Jar file, unziped, or downloaded the 7.14 version release and javac compiled with no erros. However,
I can not get the software running in linux Ubuntu 14.04. Erros:
java -ea -Xmx1024M edu.lclark.orego.ui.Orego
Error: Could not find or load main class edu.lclark.orego.ui.Orego
No matter how I switched to src folder, or change to localhost.Orego or just Orego, it does not run
Main-Class: orego.ui.Orego
to /META-INF/MANIFEST.MF inside the .jar file.
Then execute the .jar file by:
java -jar /path to/orego-7.08.jar threads=1 grace
If you get later versions to work let me know
Best,
Alex
Here it won 4-0 against GnuGo 3.8, the games where all close. I think one has to play much more games to see which one is stronger.Shoreline wrote:Thanks, I got it running like you said. However, I found it is very weak bot at 19x19. How come this Orego 7.08 ranks so high against gnugo?
It appears that it is several stones weaker than gnugo.