Since you’re here...

We hope you will consider supporting us today. We need your support to continue to exist, because good entries are more and more work time. Every reader contribution, however big or small, is so valuable. Support "Chess Engines Diary" even a small amount– and it only takes a minute. Thank you.
============================== My email: jotes@go2.pl



New version chess engine: ShashChess 34

-


ShashChess - UCI chess engine.
Rating CEDR=3765 (01.10.2023)

ShashChess is a free UCI chess engine derived from Stockfish family chess engines. 

v.34:
-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).

Rating CEDR progres - ShashChess
Pl Engine Rating Score Games %
9 ShashChess 33.1 3765.8 70.50 104 67.79
74 ShashChess 23.1.1 3728.7 101.50 142 71.48
76 ShashChess 25 3728.5 139.50 224 62.28
108 ShashChess 33.2 3724.1 783.50 1306 59.99
168 ShashChess 26.1 3719.2 71.00 110 64.55
171 ShashChess 25.2 3719.0 93.50 162 57.72
215 ShashChess 28 3716.5 315.50 504 62.60
261 ShashChess 32 3714.0 345.50 554 62.36
263 ShashChess GZ 3713.9 375.00 576 65.10
267 ShashChess 33 3713.7 69.50 108 64.35
284 ShashChess 29 3712.9 62.50 90 69.44
292 ShashChess 25.4 3712.3 119.50 191 62.57
302 ShashChess 26 3711.8 327.50 509 64.34
321 ShashChess 30 3710.3 206.50 340 60.74
355 ShashChess 25.3 3707.2 54.00 78 69.23
363 ShashChess 22 3706.5 102.00 184 55.43
364 ShashChess 24 3706.2 278.50 436 63.88
366 ShashChess 29.1 3706.2 178.50 294 60.71
380 ShashChess 31.1 3704.9 171.50 267 64.23
381 ShashChess 27 3704.9 121.50 183 66.39
406 ShashChess 27.2 3701.7 157.00 229 68.56
430 ShashChess 25.1 3697.6 28.00 39 71.79
442 ShashChess 23.1 3695.6 60.00 97 61.86
448 ShashChess 23 3694.4 115.50 174 66.38
455 ShashChess 26.2 3693.1 374.00 595 62.86
459 ShashChess 27.1 3691.8 70.50 116 60.78
465 ShashChess 31 3688.7 19.00 38 50.00
582 ShashChess 12.0 3574.9 12.50 18 69.44


ShashChess 34 - download 


Comments

Post a Comment

Popular posts from this blog

New Strong Engines Test, by Chess Engines Diary, 2024.04.12

-
Image
  💾  552 (!) games from the tournament download   👍 @chessenginesdiary  Country - Poland, City -  Malbork 🕓 Time 3'+3" 💻HP Pavilion i5-1035G1 8GB RAM 🖬 GUI-Banksia All  CEDR  317.321 games download  (01.04.2024 - 3'+3")  HypnoS 030424, Yuli GM Pro 16, Stockfish 16.1 and ShashChess 35 . These four engines scored the same number of points and placed at the top of the table in this strong tournament. Tech table: Engine KN/move NPS dep/mov time/mov mov/game time/game fails Alexandria 6.1.0 3218 576429 30.2 5.6 56.7 316.2 Berserk 13 4779 841025 36.7 5.7 56.0 318.1 Brainlearn 28 2275 366977 31.4 6.2 43.5 269.4 Caissa 1.18 5492 923486 30.2 5.9 50.4 299.7 Clover 6.1.19 4803 854377 31.4 5.6 62.2 349.4 Cool Iris 12.10 2201 356730 27.6 6.2 51.2 315.5 CorChess 20240331 2253 372774 27.4 6.0 52.2 315.8 Crystal 8 3582 571994 20.3 6.3 47.7 298.8 Fire 9.3 5225 876565 22.0 6.0 55.5 331.1 Fisherov chess monk 1.2 3487 619728 36.0 5.6 60.4 340.0 Hyp
Read more

New chess opening book: M11.2 (bin and ctg)

-
Image
  We provide two opening books, in two different formats: bin and ctg. This is enough to be used in almost any chess program (GUI). Of course, every book may contain errors, but this one is based on a high rating. Happy testing! Book - CTG format Customers who wish to use the CTG format book will need a GUI capable of reading this format, ie. Chessbase GUIs.  Please save the book in your book folder. We strongly recommend that you "Optimize" the book in the Book options dialog so the tournament moves are chosen. The book is very wide even in tournament mode unlike most other books. A type of book format mainly used by chess programs from Chessbase , such as Fritz, Chess Base, Komodo, FatFritz, Houdini , etc. Book - BIN format (  Used by chess GUIs Arena, Banksia and Droidfish) Binary books have some important advantages, especially for computer chess engines: space-efficient, fast on accessing and searching, more useful information.  At the most simple form, they are just a
Read more

New version chess engine: Lc0 BT4

-
Image
LcZero - CEDR Rating=3683 vBT4: Big transformer 4. New network architecture which builds off of BT3 by adding two types of auxiliary heads, future heads and categorical value heads. The categorical value heads predict a distribution over values of q rather than a WDL outcome distribution, and the future heads predict the moves that will be played over the next two plies. The hope is that these heads will give additional information to the net to improve training speed. We've also fixed half-precision training, so this model will be larger. BT4 training started in mid-October and is expected to take a few months. It has 15 layers with 1024 embedding size, 32 heads per layer, and 1536 emb size, for roughly a doubling in size over BT3.  Individual statistics:  Lc0 0.30.0 Stockfish 16 5/13 -3 13 Games Booot 7.2 6/10 +2 10 Games Critter 1.6a 8/9 +7 9 Games Dragon 3.2 4/8 +0 8 Games Stockfish 20230729 3.5/8 -1 8 Games ShashChess 33.2 3.5/8 -1 8 Games Fisherov chess monk 1.2 3/
Read more

Dragon NNUE by Komodo Chess - it's free!

-
Image
    Dragon by Komodo Chess Larry Kaufman: We have released Dragon at komodochess.com. Dragon uses NNUE (Neural Network Updated Efficiently) technology, originally developed for the game of shogi. Komodo has a great deal of chess knowledge in its evaluation. Training an NNUE network based on this evaluation was both an advantage and a challenge, requiring experimentation with architectures and data generation of billions of positions. The reinforcement learning phase for Dragon is in its infancy, but is already showing great promise. Dragon is a huge strength improvement over 14.1, the last release, about 197 elo in MCTS mode and 189 elo in standard mode, at CCRL blitz time control on one thread based on direct matches. With four threads, the gains were 156 elo in MCTS and 170 in standard mode. The improvement is due to the embedded neural network providing much more accurate evaluation and also in some sense gaining an extra ply or so of search by “seeing” some tactics that a normal ev
Read more