ShashChess

[amchess]

ShashChess 11.0 released
https://github.com/amchess/ShashChess/releases/tag/11.0
https://github.com/amchess/ShashChess/wiki/Matches

[matejst]

Thank you, Andrea. I hope you will be successful in developing ShashChess.

[amchess]

It's a pleasure to annonce the new ShashChess 12 release with a lot of novelties:
-completely revised Shashin theory so that we reached a main goal of our development:
the best tactical solver (better than Houdini tactical) without loosing in strength compared to Stockfish: no other button needed!
Our tests results will follow.
In particular, many thanks to JHellis and its latest Crystal derivative.
No more contempt: it's integrated in Shashin theory and we have no rollcoaster effect: the score is truly aligned with the gui
We demonstrated the effectiveness of Shashin theory at no fast time controls and there is yet a very large margin of improvement:
a lot of discarded Stockfish community patches (thanks clearly for their immense work)can be well integrated thanks to Shashin theory,
improving game play and/or hard positions management.
-new Self Q-learning, a learning variant optimized for self play
-improved LiveBook management
-latest Stockfish patch
Author: Joost VandeVondele
Date: Sat Jun 27 10:22:27 2020 +0200
Timestamp: 1593246147
Revert LTO for mingw on windows.

https://github.com/amchess/ShashChess/releases/tag/12.0

[matejst]

Dear Andrea, I just downloaded ShashChess 12, but the engine BrainLearn is in the zip archive.

[Damir]

Thanks a lot for all your work.

[amchess]

Dear Andrea, I just downloaded ShashChess 12, but the engine BrainLearn is in the zip archive.

Sorry: now it's good.
Andrea

[peter]

It's a pleasure to annonce the new ShashChess 12 release with a lot of novelties

Thanks for the new version.
Just one question to new kind of learning.
Which option should be used for experience out of backward analysis, Standard or Self?

[amchess]

It's a pleasure to annonce the new ShashChess 12 release with a lot of novelties

Thanks for the new version.
Just one question to new kind of learning.
Which option should be used for experience out of backward analysis, Standard or Self?

Both ways are compatible with the only previous one.

[peter]

It's a pleasure to annonce the new ShashChess 12 release with a lot of novelties

Thanks for the new version.
Just one question to new kind of learning.
Which option should be used for experience out of backward analysis, Standard or Self?

Both ways are compatible with the only previous one.

Thanks for the prompt answer, but which option would make experience- file grow faster at Backward?

If learning from selfplay is different from gameplay, is backward analysis then to be compared rather with selfplay or with gameplay?
How about interactive Forward- Backward? More experience- data will be stored then by Standard or by Self?

[amchess]

It's a pleasure to annonce the new ShashChess 12 release with a lot of novelties

Thanks for the new version.
Just one question to new kind of learning.
Which option should be used for experience out of backward analysis, Standard or Self?

Both ways are compatible with the only previous one.

Thanks for the prompt answer, but which option would make experience- file grow faster at Backward?

If learning from selfplay is different from gameplay, is backward analysis then to be compared rather with selfplay or with gameplay?
How about interactive Forward- Backward? More experience- data will be stored then by Standard or by Self?

Standard experience file accumulates more data than self-play.
Self-play don't use depth information. It's based on previous score and updates itself continuously by a Reinforcement learning.
So, you can use even an experience file with depth filled: simply it will not be used.