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ShashChess 24 for Windows: https://github.com/amchess/ShashChess/r ... Windows.7z
ShashChess 24 for Android: https://github.com/amchess/ShashChess/r ... Android.7z (alternative compile thanks to Archimedes: https://pixeldrain.com/u/3uNT9wir)
ShashChess 24 for Linux: https://github.com/amchess/ShashChess/r ... 4/Linux.7z
ShashChess 24 for macOS: https://github.com/amchess/ShashChess/r ... ppleM1.zip

:x

From TalkChess

Re: ShashChess
Post by amchess » Fri Oct 14, 2022 6:41 pm

New releases

https://github.com/amchess/ShashChess/releases/tag/25
https://github.com/amchess/BrainLearn/releases/tag/19

:x


ShashChess 32 Latest
@amchess amchess released this 15 May 14:34


ShashChess 32
Added book management section (thanks to Khalid Omar PolyFish: see the Readme)
Restored Minimum thinking time uci option
Stockfish patch May 7,2023:
Refine deeper post-lmr searches
This patch improves logic conditions for performing deeper searches after passed LMR.

Instead of exceeding alpha by some margin now it requires to exceed the
current best value - which may be lower than alpha (but never bigger since we
update alpha with bestvalue if it exceeds alpha).

Binaries here >> https://github.com/amchess/ShashChess/releases/tag/32

Merged topics. Please post here the next releases.

ShashChess 33

https://github.com/amchess/ShashChess/releases/tag/33

Shashchess33.2
https://github.com/amchess/ShashChess/releases/latest

ShashChess 34
@amchess amchess released this 1 hour ago

-Great improvement/fix to Shashin's theory
-Bug fix for R-learning
-Improved MCTS with the introduction of the new option MCTSGoldDigger
-Improved handicap mode with the introduction of the avatar concept:
possibility to play with the engine that not only, like Stockfish, makes mistakes with a frequency corresponding to the set elo, but simulates precisely the elo and thinking system of a player. To this end, the classic rating function (used only for handicap mode) has been preserved. As several research papers such as this one (https://www.ijcai.org/proceedings/2023/0541.pdf) also show, the neural network is a blackbox that has revolutionized traditional strategic concepts in chess books. It is important, then, to try to interpret its results. To this end, comparison with the classical evaluation function is an excellent, at present, essential interpretive model.
Finally, the avatar file, which can be generated with a private application, allows you to simulate exactly the playing style of a given player.(See the Readme for more information)
-alignment with Stockfish 16 (latest official release).


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

ShashChess 34.1

Fix MCTS
Added clang support and native build (see profilebuild.bat)

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

ShashChess 34.2 Latest
@amchess amchess released this 18 hours ago
34.2
6eeddcf
Fixed handicap mode and mcts
Fixed native build (thanks to Marco Zerbinati)

https://github.com/amchess/ShashChess/releases/tag/34.2

Thank you Andrea !

ShashChess 34.3 Latest
@amchess amchess released this 1 hour ago
34.3
4fc5ad2
Fix native build on linux
Eliminated Stockfish handicap mode and replaced with
another better one, based on an idea of Tomasz Sobczyk and Michael Byrne
Thanks to
Tomasz Sobczyk official-stockfish/Stockfish#3635
Michael Byrne MichaelB7/Stockfish@18480ca

https://github.com/amchess/ShashChess/releases/tag/34.3