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neural_network_chess reviews and mentions
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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
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
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The primary programming language of neural_network_chess is Python.
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