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============================== My email: jotes@go2.pl



Chess engine: BrainLearn 19.1 NNUE (Windows, Android and Linux)

BrainLearn - UCI chess engine
Rating CEDR=3533

BrainLearn is a free, powerful UCI chess engine derived from BrainFish. It is not a complete chess program and requires a UCI-compatible GUI (e.g. XBoard with PolyGlot, Scid, Cute Chess, eboard, Arena, Sigma Chess, Shredder, Chess Partner or Fritz) in order to be used comfortably. 
Read the documentation for your GUI of choice for information about how to use Stockfish with it. 

v.19.1:
Change log:
-Modified Makefile for Android build when curl library gives problems.
(USE_LIVEBOOK flag)
- Fixed debug assertion in MonteCarlo::print_children() by using root instead of current_node() which is supposed to be equal to root
- Fixed MCTS TT updating.
- As code cleanup, removed the bool mcts parameter to search() and qsearch() and replaced it with a Thread flag, so that each threads knows if it is running MCTS or not.


Individual statistics: BrainLearn 17 - 264 games CEDR (+ 38,=224,-  2), 56.8 %
CorChess 180422               :   4 (+  0,=  4,-  0), 50.0 %
Raubfisch X48e                :   9 (+  0,=  9,-  0), 50.0 %
SugaR AI 2.50                 :   5 (+  0,=  5,-  0), 50.0 %
Kayra 1.3                     :  10 (+  0,= 10,-  0), 50.0 %
Koivisto 8.6                  :   6 (+  1,=  5,-  0), 58.3 %
Stockfish 15                  :  12 (+  0,= 12,-  0), 50.0 %
Fisherov 0.98k                :  34 (+  0,= 34,-  0), 50.0 %
Fisherov 0.98g                :   4 (+  0,=  4,-  0), 50.0 %
EMAN 7.93                     :  12 (+  0,= 12,-  0), 50.0 %
ShashChess 22                 :  28 (+  0,= 28,-  0), 50.0 %
Lc0 0.29.0-rc0                :   3 (+  0,=  3,-  0), 50.0 %
Weiawaga 5.0.0                :   2 (+  2,=  0,-  0), 100.0 %
Wasp 5.50                     :   6 (+  3,=  3,-  0), 75.0 %
Rebel 15                      :   4 (+  2,=  2,-  0), 75.0 %
Fisherov 0.98j                :   2 (+  0,=  2,-  0), 50.0 %
Eman 7.40                     :   2 (+  1,=  1,-  0), 75.0 %
Komodo 13.02                  :   6 (+  3,=  3,-  0), 75.0 %
Arasan 23.3                   :   4 (+  1,=  3,-  0), 62.5 %
Stockfish 030522              :   4 (+  0,=  4,-  0), 50.0 %
Zahak 10.0                    :   2 (+  2,=  0,-  0), 100.0 %
Hiarcs 15.5                   :   2 (+  1,=  1,-  0), 75.0 %
Protej 0.6.2                  :   2 (+  2,=  0,-  0), 100.0 %
Caissa 0.5                    :   2 (+  0,=  2,-  0), 50.0 %
Stash 33.0                    :   2 (+  1,=  1,-  0), 75.0 %
Avalanche 0.3a                :   2 (+  2,=  0,-  0), 100.0 %
Horowitz 2.1                  :   2 (+  2,=  0,-  0), 100.0 %
Rebel 15x2                    :   2 (+  2,=  0,-  0), 100.0 %
Minic 3.19                    :   2 (+  0,=  2,-  0), 50.0 %
StockfishMZ 170522            :   2 (+  0,=  2,-  0), 50.0 %
ProteusSF RBE 008             :   2 (+  1,=  1,-  0), 75.0 %
Nalwald 15                    :   2 (+  2,=  0,-  0), 100.0 %
Colossus 2022a                :   2 (+  2,=  0,-  0), 100.0 %
Swordfish 15.1                :   2 (+  0,=  2,-  0), 50.0 %
Rebel 14.2                    :   2 (+  2,=  0,-  0), 100.0 %
Seer 2.5                      :   2 (+  2,=  0,-  0), 100.0 %
Blue Marlin 15.1              :   2 (+  0,=  2,-  0), 50.0 %
Berserk 9-dev e68765ea32a3    :   2 (+  1,=  1,-  0), 75.0 %
CorChess 290522               :  20 (+  0,= 19,-  1), 47.5 %
Fisherov chess monk 1.1       :  20 (+  0,= 20,-  0), 50.0 %
Vafra 3.3.2                   :   2 (+  2,=  0,-  0), 100.0 %
Koivisto 8.8                  :   2 (+  1,=  1,-  0), 75.0 %
Swordfish 15.2                :   1 (+  0,=  1,-  0), 50.0 %
Kayra 1.4                     :   1 (+  0,=  1,-  0), 50.0 %
Halogen 10.22                 :   2 (+  0,=  2,-  0), 50.0 %
Stockfish 070622              :  20 (+  0,= 19,-  1), 47.5 %
CorChess 080622               :   1 (+  0,=  1,-  0), 50.0 %
EMAN 8.03                     :   1 (+  0,=  1,-  0), 50.0 %
Fisherov chess monk 1.2       :   1 (+  0,=  1,-  0), 50.0 %


BrainLearn 19 - download
github:https://github.com/amchess/BrainLearn/releases/tag/19.1

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