Deep learning and chess

• Main Author: Nguyen, Gia Khanh
• Other Authors: He Ying
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Chess; Deep learning
• Online Access: https://hdl.handle.net/10356/181411
• Institution: Nanyang Technological University

This paper investigates the application of neural networks and Monte Carlo Tree Search (MCTS) for the development of a chess-playing agent. Our experiments include both full-game and isolated-position testing environments. Through rigorous evaluation, we show that the integration of neural networ...