As an open-source distributed computing project, volunteer users run Leela Chess Zero to play hundreds of millions of games which are fed to the reinforcement algorithm.
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This is a machine-learning algorithm, mirrored from AlphaZero used by the Leela Chess Zero training executable/ binary code (called "binary") to maximize reward through self-play. The method used by its designers to make Leela Chess Zero self-learn and play chess at above human level is reinforcement learning. The engine supports the Fischer Random Chess variant, and a network is being trained to test the viability of such a network as of May 2020. The engine has been rewritten and carefully iterated upon since its inception, and now runs on multiple backends, allowing it to effectively utilize different types of hardware, both CPU and GPU. The work on Leela Chess Zero has informed the similar AobaZero project for shogi. These changes were soon incorporated into Leela Chess Zero and increased both its strength and training efficiency. In December 2018, the AlphaZero team published a new paper in Science magazine revealing previously undisclosed details of the architecture and training parameters used for AlphaZero. Within the first few months of training, Leela Chess Zero had already reached the Grandmaster level, surpassing the strength of early releases of Rybka, Stockfish, and Komodo, despite evaluating orders of magnitude fewer positions due to its deep neural network in its evaluation function and its use of Monte Carlo tree search. This revealed Leela Chess Zero as the open-source, self-learning chess engine it would come to be known as, with a goal of creating a strong chess engine. The Leela Chess Zero project was first announced on on January 9, 2018.
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Leela Chess Zero then learns how to play chess by reinforcement learning from repeated self-play, using a distributed computing network coordinated at the Leela Chess Zero website.Īs of January 2022, Leela Chess Zero has played over 500 million games against itself, playing around 1 million games every day, and is capable of play at a level that is comparable with Stockfish, the leading conventional chess program. Like Leela Zero and AlphaGo Zero, Leela Chess Zero starts with no intrinsic chess-specific knowledge other than the basic rules of the game. One of the purposes of Leela Chess Zero was to verify the methods in the AlphaZero paper as applied to the game of chess. Leela Chess Zero was adapted from the Leela Zero Go engine, which in turn was based on Google's AlphaGo Zero project.
Development has been spearheaded by programmer Gary Linscott, who is also a developer for the Stockfish chess engine. Leela Chess Zero (abbreviated as LCZero, lc0) is a free, open-source, and deep neural network–based chess engine and volunteer computing project.
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