Deep learning for computer chess (part 1)

This report encompasses the implementation of two state-of-the-art machine learning algorithms for evaluating chess positions. The first algorithm makes use of artificial neural networks and manual feature representation thus closely following the implementation and architecture of Matthew Lai’s Gir...

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Bibliographic Details
Main Author: Arora, Manav
Other Authors: He Ying
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157572
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Institution: Nanyang Technological University
Language: English

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