New engine releases & news H1 2023

[Gabor Szots]

Princhess 0.9.0

https://github.com/princesslana/prinche ... /tag/0.9.0

Code: Select all

 Rank Name                          Elo     +/-   Games   Score    Draw
    1 princhess-0.9.0               173      16    2000   73.0%   10.0%
    2 princhess-0.8.0               -14      14    2000   47.9%   11.0%
    3 princhess-0.7.0              -156      16    2000   29.0%    9.8%

That's impressive even if obtained by self-play. I'm going to test it soon.

[Jouni]

https://koivisto-chess.com/ is not updated yet. " DOWNLOAD LATEST KOIVISTO Version 8 is now available".

[Sylwy]

https://koivisto-chess.com/ is not updated yet. " DOWNLOAD LATEST KOIVISTO Version 8 is now available".

A single place is OK:

https://github.com/Luecx/Koivisto/releases/tag/v9.0

[Dariusz]

Princhess 0.9.0

https://github.com/princesslana/prinche ... /tag/0.9.0

Code: Select all

 Rank Name                          Elo     +/-   Games   Score    Draw
    1 princhess-0.9.0               173      16    2000   73.0%   10.0%
    2 princhess-0.8.0               -14      14    2000   47.9%   11.0%
    3 princhess-0.7.0              -156      16    2000   29.0%    9.8%

That's impressive even if obtained by self-play. I'm going to test it soon.

Just before the release of version 0.9.0
https://www.chessengeria.com/post/princ ... -with-mcts

And after playing 504 games:
# PLAYER : RATING POINTS PLAYED (%)
131 Princhess-20230122-dev : 2371 288.0 504 57.1%

[Lana Samson]

Princhess 0.9.0

https://github.com/princesslana/prinche ... /tag/0.9.0

Code: Select all

 Rank Name                          Elo     +/-   Games   Score    Draw
    1 princhess-0.9.0               173      16    2000   73.0%   10.0%
    2 princhess-0.8.0               -14      14    2000   47.9%   11.0%
    3 princhess-0.7.0              -156      16    2000   29.0%    9.8%

That's impressive even if obtained by self-play. I'm going to test it soon.

Just before the release of version 0.9.0
https://www.chessengeria.com/post/princ ... -with-mcts

And after playing 504 games:
# PLAYER : RATING POINTS PLAYED (%)
131 Princhess-20230122-dev : 2371 288.0 504 57.1%

Oh awesome, thanks for the test and the writeup. I'll have to get it back up on lichess, I just nuked the vps it was hosted on, lol

[Dariusz]

Princhess 0.9.0

https://github.com/princesslana/prinche ... /tag/0.9.0

Code: Select all

 Rank Name                          Elo     +/-   Games   Score    Draw
    1 princhess-0.9.0               173      16    2000   73.0%   10.0%
    2 princhess-0.8.0               -14      14    2000   47.9%   11.0%
    3 princhess-0.7.0              -156      16    2000   29.0%    9.8%

That's impressive even if obtained by self-play. I'm going to test it soon.

Just before the release of version 0.9.0
https://www.chessengeria.com/post/princ ... -with-mcts

And after playing 504 games:
# PLAYER : RATING POINTS PLAYED (%)
131 Princhess-20230122-dev : 2371 288.0 504 57.1%

Oh awesome, thanks for the test and the writeup. I'll have to get it back up on lichess, I just nuked the vps it was hosted on, lol

Hehe...!

[jmcd]

Clovis II
https://github.com/jonathanmcdermid/Clo ... ses/tag/II

[jorose]

Winter v2.0 is released!

Please be patient with regards to Windows binaries, they should be out this weekend.

Search is mostly unchanged. Most of the improvement is from more self play training data (all DFRC without standard starting position), improved architecture and tablebase rescoring. In older data I did not do tablebase rescoring as it for some reason surprisingly resulted in a weaker net.

DFRC self play bullet testing between Winter v2.0 and Winter v1.0:

ELO | 100.40 +- 7.99 (95%)
CONF | 40.0+0.40s Threads=1 Hash=64MB
GAMES | N: 5000 W: 2344 L: 938 D: 1718

I don't have non-DFRC results, as I am out of principle focusing on DFRC for now That being said, I would expect the regular chess improvement to be less than this.

https://github.com/rosenthj/Winter/releases/tag/v2.0

[Dariusz]

Winter v2.0 is released!

Please be patient with regards to Windows binaries, they should be out this weekend.

Search is mostly unchanged. Most of the improvement is from more self play training data (all DFRC without standard starting position), improved architecture and tablebase rescoring. In older data I did not do tablebase rescoring as it for some reason surprisingly resulted in a weaker net.

DFRC self play bullet testing between Winter v2.0 and Winter v1.0:

ELO | 100.40 +- 7.99 (95%)
CONF | 40.0+0.40s Threads=1 Hash=64MB
GAMES | N: 5000 W: 2344 L: 938 D: 1718

I don't have non-DFRC results, as I am out of principle focusing on DFRC for now That being said, I would expect the regular chess improvement to be less than this.

https://github.com/rosenthj/Winter/releases/tag/v2.0

Binaries for Linux, Mac and Windows can be downloaded from here: https://www.chessengeria.com/files
They will also be downloadable directly from a post in the news section ( when I finish writing it )

[jorose]

I just released the binaries Connor sent me yesterday, now.

Thank you for making your own binaries available as well!