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<ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815]</ref>
<ref>[[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419</ref>, but using distributed training for the weights of the [[Neural Networks#Deep|deep]] [[Neural Networks#Convolutional|convolutional neural network]].
=PyTorch NNUE=
With the advent of [[Stockfish NNUE]] in 2020, Gary Linscott started an implementation of the [[Stockfish]] [[NNUE]] training in [https://en.wikipedia.org/wiki/PyTorch PyTorch] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=75724 Pytorch NNUE training] by [[Gary Linscott]], [[CCC]], November 08, 2020</ref> <ref>[https://github.com/glinscott/nnue-pytorch GitHub - glinscott/nnue-pytorch: NNUE (Chess evaluation) trainer in Pytorch]</ref>.
=Forum Posts=
[[Category:Programmer|Linscott]]
[[Category:Chess Programmer|Linscott]]
[[Category:Go Programmer|Linscott]]
[[Category:Othello Programmer|Linscott]]
[[Category:Leela Chess Contributor|Linscott]]
[[Category:Stockfish Contributor|Linscott]]
