Ceres
nnue-pytorch
Ceres | nnue-pytorch | |
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4 | 14 | |
143 | 286 | |
- | 4.5% | |
9.5 | 6.3 | |
about 2 months ago | 11 days ago | |
C# | C++ | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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Ceres
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Ceres VS Synergy-Chess - a user suggested alternative
2 projects | 18 Jun 2022
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Train Chess like AlphaZero
something like this exists already it's called Ceres https://github.com/dje-dev/Ceres/releases/tag/v0.94
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The neural network of the stockfish chess engine
That being said it is not clear which approach is better e.g. a very smart but relatively slow evaluation function (Leela) or SFs approach to use a relatively dumb eval function with a more sophisticated search. It is pretty clear that Leelas search can be improved (Check https://github.com/dje-dev/Ceres for example)
- Ceres – an MCTS chess engine for research and recreation
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.
What are some alternatives?
fishtest - The Stockfish testing framework
Stockfish - A free and strong UCI chess engine
Synergy-Chess - system that allows you to simultaneously start 8 chess engines and obtain a single move through the majority criteria and of score.
KataGo - GTP engine and self-play learning in Go
ChessCounter - Estimate the number of legal chess positions
irwin - irwin - the protector of lichess from all chess players villainous
Koivisto - UCI Chess engine
chessx - Sources of the official ChessX version.
lc0 - The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
Ethereal - Ethereal, a UCI Chess Engine by Andrew Grant