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: Renegade 1.0.0


Renegade - UCI chess engine  Author:Krisztian Peocz  
Rating CEDR=3002

Renegade is a chess engine written in C++ using Visual Studio 2019. It values readability and simplicity, and uses the UCI protocol to communicate, making it easy to connect it to chess frontends. Under construction since October 7, 2022 and released publicly on January 15, 2023.  

The project can be compiled using Visual Studio 2019 with C++20 features enabled. The engine makes heavy use of `popcnt` and `lzcnt` instructions, thus only processors from 2013 or so are supported, but the calls to these instructions are wrapped in a custom function, and replacing them with something more compatible is relatively straightforward. Currently only Windows binaries are compiled, but in the future I would like to make them for Linux as well.

v.1.0.0:
After 15 months of development, I'm happy to announce version 1.0.0 of Renegade!

This release introduces NNUE evaluation, resulting in a large jump in playing strength. The medium-sized network was trained purely on self-play, starting with a custom king tropism-only evaluation, hopefully resulting in an interesting style of play. In total, close to a billion positions were generated during training.

A number of search improvements were added as well, alongside some much-needed bug fixes.

Finally, I would like to take this opportunity to thank everyone who helped me during the development of Renegade, providing feedback, and answering the countless questions I had! I've learned so much during the last year, and it improved my programming skills tremendously.

Changelog

Implemented a significantly stronger evaluation using NNUE
Network arch is 768->512x2->1 (perspective net) with a SCReLU activation
Trained on 640 million positions of self-play using bullet
Started learning from a king tropism only evaluation
Added win-draw-loss model using Stockfish's WDL tool
Normalized evaluation scores, 100 cp = 50% chance of winning
Search improvements
Added singular extensions
Added continuation history for ply-1, ply-2 and ply-4
Implemented threat history
Implemented node time management
Reductions for LMR are adjusted depending on history score
Doing LMR in check
History scores persist between searches
No check extensions on root
Changes to improving heuristic
Breaking out of the moves loop during LMP and futility pruning
Prefetching transposition table entries
Insta-move when only having one legal move
Updated pruning guards and parameters in a lot of places
Adjusted time management parameters
Added tools for datagen (position generation with self-play for NNUE data)
Separate input and search threads
Removed support for reading opening books
Bugfixes
Fixed often incorrect SEE score calculations
Fixed a bug where friendly pawns can be taken via en passant after null moves
Fixed incorrect history bonuses/penalties

Rating CEDR progres - Renegade
Pl Engine Rating Score Games %
1189 Renegade 0.12.0 3002.6 73.50 212 34.67
1314 Renegade 0.11.0 2817.7 93.00 241 38.59
1465 Renegade 0.10.0 2603.3 28.00 123 22.76
1663 Renegade 0.7.0 2319.8 19.50 148 13.18
1672 Renegade 0.8.1 2311.8 16.50 126 13.10
1712 Renegade 0.9.0 2245.3 18.50 138 13.41


github:https://github.com/pkrisz99/Renegade/releases/tag/v0.12.0

Comments

Popular posts from this blog

New Strong Engines Test, by Chess Engines Diary, 2024.04.12

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

New version chess engine: Lc0 BT4

Dragon NNUE by Komodo Chess - it's free!