Application-of-convolutional-neural-network-in-chess-evaluation

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In a game of chess, each move is made according to astrategy that aims to optimize the situation of the activeplayer. The evaluation of the position of the differentpieces is therefore a central issue that we will be tack-ling in this project. The goal we fixed ourselves is touse an evaluation of the board positions through a con-volutional neural network (CNN). This evaluation aimsto mimic the complex heuristic of the well known chessengineStockfish. We will then use this learned evaluationas the heuristic in aminimaxalgorithm to implement ourown chess AI.

chess-ai chess-game convolutional-neural-networks deep-learning machine-learning

Creat：2020-03-19T20:45:59

Update：2023-03-01T20:46:10

https://jhubar.github.io

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