Comments (2)
Vandertic
commented on August 23, 2024
Our learning pipeline is different from LZ's. See the wiki.
The number of games and matches are surely not optimal, and may well change in the future, anyway at the moment we are doing 4000 self-plays per generation, with 10x50 promotion matches, 5x40 reference matches and 16x30/4 panel matches. So it should be 5 self-plays for every match, like LZ.
We could decrease the number of matches in the future. We will see.
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kennyfs
commented on August 23, 2024
Great answer, thank you.
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Related Issues (20)
- self-play games lost comments when I interrupt autogtp with the q command HOT 1
- consider to switch 20x256 net at number 512? HOT 6
- sai 510 p1600 has 1/10 chance to beat lz elf v2 p800 HOT 1
- what is the meaning of the experiment type of matchs HOT 5
- removing the old networks HOT 6
- to get the similar elo, the training games is about 1:2 of leelazero now
- Latest news from telegram channel HOT 16
- katago training so fast HOT 4
- all the elo of nets drop to 500 HOT 2
- network: 61be4874d51e397e8e58f raise *ERROR*: Could not talk to engine after launching. HOT 3
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- sai 0.18.1 run with problem on window7 32bits HOT 20
- sai 0.18.1 vs 0.17.6 (my impression) HOT 16
- Doesn't compile CPU only version HOT 1
- Is it possible to do 64-bit Linux binary CPU only release? HOT 4
- suggest use katago games to increase self play games HOT 2
- autogtp build error HOT 2
- Just suggestion: go to 40b or close... HOT 6
- Hope to support ONNX Runtime (Training version & Inferencing version) and DirectML HOT 1
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