nnue-pytorch
ChessCounter
| nnue-pytorch | ChessCounter | |
|---|---|---|
| 14 | 7 | |
| 284 | 11 | |
| 3.9% | - | |
| 6.3 | 0.0 | |
| 5 days ago | over 3 years ago | |
| C++ | C++ | |
| GNU General Public License v3.0 only | - |
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nnue-pytorch
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Are Super-GMs far more cautious in opening choice than they were even ten years ago?
There's extremely detailed information on how Stockfish's neural network evaluation works, but none of this will tell you the why of why the engines' assessment changed: https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md
- Why are people using bitboards for chess input?
- Resources for learning and implementing a NNUE for a chess engine?
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I am the first author of Stockfish. Ask me anything.
If you want a readable explanation of all the details, this document is phenomenal.
- What's a simple engine to modify? (Preferably in Python)
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"RL Fine-Tuning: Scalable Online Planning via Reinforcement Learning Fine-Tuning", Fickinger et al 2021 {FB}
Getting SOTA in chess would be earth-shattering, especially since Stockfish has now adopted very light-weight NNs (called NNUE) and has doubled down on alpha-beta search, regaining the upper hand against A0 style programs.
- Where would an absolute beginner to neural networks start when trying to learn how to build a NNUE evaluation function?
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Stockfish 14 Released
Stockfish NNUE is deep network. You can find out more about it's architecture and internal working here:
https://github.com/glinscott/nnue-pytorch/blob/master/docs/n...
It's pretty interesting read.
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Official release version of Stockfish 14
[0] https://tests.stockfishchess.org/tests/view/60dae5363beab81350aca077 [1] https://nextchessmove.com/dev-builds [2] https://stockfishchess.org/blog/2021/stockfish-13/ [3] https://lczero.org/blog/2021/06/the-importance-of-open-data/ [4] https://github.com/official-stockfish/Stockfish/commit/e8d64af1 [5] https://github.com/glinscott/nnue-pytorch/ [6] https://stockfishchess.org/get-involved/
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How do Neural Networks work?
https://github.com/glinscott/nnue-pytorch/blob/master/docs/nnue.md There is some info there.
ChessCounter
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ChessCounter VS Synergy-Chess - a user suggested alternative
2 projects | 18 Jun 2022
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The neural network of the stockfish chess engine
You don't need to care about possible games, but game states, what's the best result and the move to achieve it in each. Another user computed an upper bound at 8.7E+45 positions: https://github.com/lechmazur/ChessCounter . I pointed out that our planet has about 1E+50 atoms. And we can further compress the database by perhaps two orders of magnitude if we don't store symmetric positions or positions close to mate. A Kardashev 2 civilization could play perfect chess.
- Accurately calculating the number of legal chess positions
- There are 8590000000000000000000000000000000000000000000 legal chess positions
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Building My Own Chess Engine – Andrew Healey
"Claude Shannon calculated that there are around 10^120 possible games of chess in his seminal paper Programming a Computer for Playing Chess in 1950. "
I've just finished a weekend project to calculate the number of legal chess positions and there are about 8.5E+45: https://github.com/lechmazur/ChessCounter.
For people considering making a chess program, take a look at this message board http://talkchess.com/forum3/index.php.
What are some alternatives?
Ceres - Ceres - an MCTS chess engine for research and recreation
fastchess - Predicts the best chess move with 27.5% accuracy by a single matrix multiplication
Stockfish - A free and strong UCI chess engine
KataGo - GTP engine and self-play learning in Go
flask-pgn-api - python flask api to convert chess single game pgn to mp4 videos and fen to png images
irwin - irwin - the protector of lichess from all chess players villainous
Synergy-Chess - system that allows you to simultaneously start 8 chess engines and obtain a single move through the majority criteria and of score.
Koivisto - UCI Chess engine
fishtest - The Stockfish testing framework
chessmate - Chess AI in Java - 2005 High School Project