LCZero

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an adaptation of Gian-Carlo Pascutto's Leela Zero Go project to Chess, using Stockfish's board representation and move generation. No heuristics or prior knowledge are carried over from Stockfish. The goal to build a strong UCT chess AI following the same type of deep learning techniques of AlphaZero as described in DeepMind's paper, but using distributed training for the weights of the deep residual convolutional neural network. The training process requires [|CUDA] and a GPU accelerated version of [|Tensorflow] installed.
 * LCZero**,

=See also=
 * AlphaZero
 * Deep Learning
 * UCT

=Forum Posts= > [|Re: Announcing lczero] by Daniel Shawul, CCC, January 21, 2018 » Rollout Paradigm > [|LCZero update (2)] by Rein Halbersma, CCC, March 25, 2018
 * [|Announcing lczero] by Gary, CCC, January 09, 2018
 * [|LCZero is learning] by Gary, CCC, January 30, 2018
 * [|LCZero update] by Gary, CCC, March 14, 2018
 * [|LCZero: Progress and Scaling. Relation to CCRL Elo] by Kai Laskos, CCC, March 28, 2018 » Playing Strength
 * [|What does LCzero learn?] by Uri Blass, CCC, April 05, 2018
 * [|LCZero in Aquarium / Fritz] by Carl Bicknell, CCC, April 11, 2018
 * [|LCZero on 10x128 now] by Gary, CCC, April 12, 2018
 * [|lczero faq] by Duncan Roberts, CCC, April 13, 2018

=External Links=
 * [|LCZero]
 * [|GitHub - glinscott/leela-chess: A chess adaption of GCP's Leela Zero]
 * [|Breaking: Leela Chess Zero enters TCEC Season 12], Chessdom, April 18, 2018 » TCEC Season 11

=References= =What links here?= include page="LCZero" component="backlinks" limit="80"
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