Stockfish VS lc0

The Stockfish program can be set to play at strength level 0-20. Estimates of the levels' Elo is provided here: https://github.com/official-stockfish/Stockfish/commit/a08b8...

- and handicapped Stockfish (https://stockfishchess.org).

The whole thing is at https://github.com/magv/bchess, and can be installed with just 'pip install bchess'.

This was the result searching for all the 35 stockfish benchmark positions to depth 6.

Stockfish doesn't have a classical evaluation anymore. And before this, most of the time (around 90%), NNUE was used to evaluate.

If you use ChessBase on a MacBook through Parallels, there's an issue where people have posted Apple Silicon compiles for Windows: https://github.com/official-stockfish/Stockfish/issues/4241

Progress can be found here https://github.com/official-stockfish/Stockfish/wiki/Regression-Tests At 1 thread it has gained +18.3 elo on a balanced book, and +47.03 on UHO (unbalanced) book as well as +39.4 elo for FRC and +65.56 for DFRC. At 8 threads it has gained +14.33 elo on a balanced book and +49.46 on UHO (unbalanced book). Also testing was done on 8 threads with 180+1.8 (this is considered very long time control for fishtest standards) and progress was +9.45 on balanced book and +49.65 on UHO.

Downloads are available temporarily here https://github.com/official-stockfish/Stockfish/releases/tag/stockfish-dev-20230622-a49b3ba7

The strongest version of Stockfish is the latest development version of Stockfish

I am trying to implement Stockfish (a popular chess engine) into my React Native app.

So according to the Releases page at https://github.com/LeelaChessZero/lc0/releases on the 1st of January 2022, Lc0 was in version 0.28.2. That takes care of the [White ""] and [Black ""] headers. To get the ratings, I went to the CCRL and looked it up: https://ccrl.chessdom.com/ccrl/404/cgi/compare_engines.cgi?family=Leela%20Chess

Lc0 0.29.0 - released - A beautiful gift for Mac users. (chessengeria.com) Release v0.29.0 · LeelaChessZero/lc0 (github.com)

Sorry, I should've said it in a more clear way. The feature isn't broken in general, but it wasn't intended to be used for randomizing move selection by policy value (normally it uses number of visits, if I understand correctly). This was changed in this PR so I don't think there's any issue that needs to be reported.

UCI is designed to interface with GUIs. He needs it to be usable in "batch mode" which means providing input games/files on a command-line. I just looked at the lc0 documentation. There doesn't seem to be any way of integrating a batch mode https://github.com/LeelaChessZero/lc0/blob/master/FLAGS.md

If you are curious where this game is from, this is actually a computer chess game that I ran on my machine between Leela Chess Zero 0.29.0 prerelease on https://github.com/LeelaChessZero/lc0/releases (CUDNN) playing with the black pieces, and Stockfish 22060708 64X BMI2 on https://abrok.eu/stockfish playing with the white pieces. The game continued 17. Bxe6 Kxe6 18. f4 Nxf4 19. Qg4+ Kd5 20. Rxf4 gxf4. If you check that position with Stockfish 15 NNUE on chess.com, it should realize that it is winning.

For example: https://github.com/LeelaChessZero/lc0/wiki/Contributing-Training-Games

I suspect in a PUCTS based engine, simply changing the parameters to make the search wider could have the effect you want. Ie, the engine will try losing moves more often, which reduces the expected value of a node if it doesn't have a lot of similar options. I haven't checked Leela out in a while, but there is a good chance you don't even need to modify code to try that. https://github.com/LeelaChessZero/lc0