Deep learning and computer chess (Part 1): using neural networks for chess evaluation functions
This report presents the implementation of two different chess evaluation functions based on the Giraffe and DeepChess papers. In the first implementation, the evaluator network architecture from Giraffe’s evaluation function was adapted into a multiclass classifier designed to predict 7 classi...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175276 |