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Tahl

An aggressive chess engine written using the Monte Carlo Tree Search with the aim of being trained to play like the legendary grandmaster Mikhail Tal

NO LLMs OR AI WAS USED IN THE MAKING OF THIS PROJECT, NEITHER FOR UNDERSTANDING, LEARNING OR BUILDING.

Input format for the Neural Network

We slice the board into 28 layers of 2D bit arrays to feed the network and expect a 12 layer 2D bit array output.

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An aggressive chess engine built on Monte Carlo Tree Search, designed to be trained with deep neural networks to emulate the playing style of the legendary grandmaster Mikhail Tal

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