Chess Fighter

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Chess Fighter, (Chess Fighter NN, Chess Fighter Zero, ChessFighter)
an UCI compliant deep neural network chess engine by Alexander Lim, written in C++, first announced in March 2019 [1]. Chess Fighter is based on the ideas of AlphaZero, and applies MCTS/PUCT along with 8x128 value and policy nets using the C++ Dlib library by Davis E. King [2]. The program requires a GPU with at least CUDA 10 installed.

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