nnue пришел в шахматы из сёги, Elmo программа, возможно применялся и в других. по сути несмотря на различия игр у них много общего. возможно стоит рассмотреть коды этих программ и почерпнуть другие полезные реализации, чтобы не изобретать велосипед.
Most of the strongest shogi programs nowadays employ a linear evaluation function, which is computationally efficient but lacks nonlinear modeling capability. This report presents a new class of neural-network-based
nonlinear evaluation functions for computer shogi, called NNUE (Efficiently Updatable Neural-Network-based
evaluation functions). NNUE evaluation functions are designed to run efficiently on CPU using various acceleration techniques, including incremental computation. The first shogi program with a NNUE evaluation
function, the end of genesis T.N.K.evolution turbo type D, will be unveiled at the 28th World Computer Shogi
Championship.
there are remarkable developments of shogi engines. The strongest software at that time has a rating 4150, but now it reaches R4400! (We note that the ELO rating of top human players is about R3100). This dramatical change comes from an invention of a neural network system to evaluate the position. It should be distinguished from the software which uses deep learning, such as Alpha Zero. Instead, people use shallow layers, which is manageable by CPU. This new method was invented by Yu Nasu who belong to a team "the end of genesis T.N.K.evolution turbo type D" in the "world championship of Shogi software 2018 (WCSC28)". While the evaluation file in my last instruction (based on so-called KPPT format) is considerably large (nearly 1GB), the new evaluation (which is called NNUE format) is merely 64MB, but the latter is much stronger than the previous format!