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ShashChess 34.4 Latest
@amchess amchess released this 19 hours ago
34.4
896b63c
Fix avatart playing: now the winnable is for both mg and eg
Fix mcts (eliminated GoldDigger and fixed a bug)
UCI_ShowWDL to true by default

https://github.com/amchess/ShashChess/releases/tag/34.4

Thank you Andrea !

ZamChess wrote: ↑Wed Nov 22, 2023 6:11 am ShashChess 34.4 Latest
@amchess amchess released this 19 hours ago
34.4
896b63c
Fix avatart playing: now the winnable is for both mg and eg
Fix mcts (eliminated GoldDigger and fixed a bug)
UCI_ShowWDL to true by default

https://github.com/amchess/ShashChess/releases/tag/34.4

Thank you Andrea !

I noticed that SHASHCHESS with only HIGHTAL enabled, finds hard positions really faster, and also stronger in tournament.

ShashChess 34.5 Latest
@amchess amchess released this 14 hours ago
· 1 commit to master since this release
34.5
3545300
Fix mcts
UCI_ShowWDL option default to true
A great thanks for their help to
-Omar Khalid in correcting
-Peter Martan in professionally testing
the mcts code.

https://github.com/amchess/ShashChess/releases/tag/34.5

Thank you Andrea !

Andrea Manzo released new versions of Brainlearn, ShashChess, Alexander.

ShashChess 35:
https://github.com/amchess/ShashChess/releases/tag/35

ShashChess 35
Aligned with Stockfish 16.1
Improved opening variety
Improved Shashin theory
Eliminated classical eval and handicap mode:
there is another engine called Alexander for this.

Brainlearn 28:
https://github.com/amchess/BrainLearn/releases/tag/28

Alexander 1.0:
https://github.com/amchess/Alexander/releases/tag/1.0

Why ShashChess? The engine is updated to SF 16.1 but with many options that Stockfish does not offer: MCTS Search, CTG/Polyglot Books, Styles (Petrosian - Capablanca - Tal), Self Learning, Persisted Learning, Live Book, Minimum Thinking Time, Slow Mover.

Brainlearn and ShashChess by Andrea Manzo. Currently both engines use the SF 16.1 code, but have numerous settings and can learn. In particular ShashChess uses special codes, from super positional to ultra tactical.

https://github.com/amchess/BrainLearn

https://github.com/amchess/ShashChess

Thank you Andrea !