chess
neural_network_chess
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| chess | neural_network_chess | |
|---|---|---|
| 2 | 14 | |
| 19 | 265 | |
| - | - | |
| 0.0 | 2.4 | |
| over 2 years ago | 11 months ago | |
| Python | Python | |
| MIT License | - |
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chess
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Multi-task learning: How's that done?
I use the first approach in a chess bot of mine, here's a link to the article: https://towardsdatascience.com/building-a-chess-engine-part2-db4784e843d5. The code for this can be found here: https://github.com/bellerb/chess/blob/main/ai_ben/train.py.
- Building a Chess AI
neural_network_chess
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A question about training chess engines
Basically, MCTS is used in combination with reinforcement learning. This ensures that we get better evaluations for non terminal positions in training games. You might want to have a look at my free book @ https://github.com/asdfjkl/neural_network_chess
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Why does the compiler *partially* vectorize my code?
So consider instead keeping a running score of the position, rather than recalculating it in full every time. One of the main tricks behind Stockfish NNUE, the current top chess engine, is a clever way of not needing to fully recalculate the full neural net every time, but to do a delta update for each move for a substantial part of the network. I forget the main paper about that, but you can read about it in https://github.com/asdfjkl/neural_network_chess.
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Resources for learning and implementing a NNUE for a chess engine?
My book https://github.com/asdfjkl/neural_network_chess covers some of these topics...
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[D] Machine Learning - WAYR (What Are You Reading) - Week 122
Neural Networks For Chess
- [R] Neural Networks For Chess
- Neural Networks For Chess
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Book about AlphaZero, Stockfish NNUE and neural networks in chess
Shameless self-plug: I wrote a book about neural networks in chess and you can get a free PDF here https://github.com/asdfjkl/neural_network_chess (no ads, no fremium)
- Neural Networks for Chess
What are some alternatives?
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
python-chess-annotator - Reads chess games in PGN format and adds annotations using an engine
python-chess - A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication
sapai - Super auto pets engine built with reinforment learning training in mind
maia-chess - Maia is a human-like neural network chess engine trained on millions of human games.
q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.
lichess-bot - A bridge between Lichess API and chess engines
muzero-general - MuZero
nnue-pytorch - Stockfish NNUE (Chess evaluation) trainer in Pytorch
chappie.ai - Generalized AI to perform a multitude of tasks written in python3
boardlaw - Scaling scaling laws with board games.