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Chess engines do weird stuff
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Chess engines like AlphaZero and lc0 use reinforcement learning by having the engine play itself multiple times to train the model on game outcomes. A combination of a weaker model and strong search capabilities can outperform a stronger model alone, as the search can significantly enhance performance.
Summary from girl.surgery.
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Chess engines do weird stuff
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Based on 5 sampled comments from this thread. Analyzed 2026-02-18.
- Praise: The use of SPSA for tuning in chess engines like lc0 and Stockfish highlights a unique approach, suggesting that traditional methods may not always be optimal in specialized AI applications.
- Concern: The article's complexity may alienate readers, indicating a potential disconnect between the author's expertise and the audience's understanding of chess AI.
- Concern: Concerns about the choice of SPSA over more popular optimization algorithms suggest that chess engine development might lag behind advancements in AI research.