Leela Chess Zero is a project started before some months inspired by Deepmind's papers about AlphaGO Zero and AlphaZero, which is based on a new paradigm of Chess engines by not using traditional AlphaBeta search with handcrafted evaluation function but uses a variant of MCTS search called puct and for evaluation function it uses a self-taught neural network that learns by deep learning methods by playing against itself million times.
Now after 6.5 months of training it seems that it has reached a place among the top 5 strongest engines available.
Its use is not that straightforward like traditional engines since it requires some extra things one that has to make in order to run it. It's easy thought. This guide will be about running it on Microsoft Windows on various GUIs.
Leela Chess Zero works with the help of 2 things: