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In December 2017, the [[Google]] [[DeepMind]] team with [[Matthew Lai]] involved published on their generalized [[AlphaZero]] algorithm, combining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]]. AlphaZero can achieve, tabula rasa, superhuman performance in many challenging domains with some training effort. Starting from random play, and given no domain knowledge except the game rules, AlphaZero achieved a superhuman level of play in the games of chess and [[Shogi]] as well as Go, and convincingly defeated a world-champion program in each case <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>.
==LCZeroLeela Chess Zero==[[LCZeroLeela Chess Zero]] is an adaptation of [[Gian-Carlo Pascutto|Gian-Carlo Pascutto's]] [[Leela Zero]] [[Go]] project <ref>[[https://github.com/gcp/leela-zero|GitHub - gcp/leela-zero: Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper]]</ref> to [[Chess]], using [[Stockfish|Stockfish's]] [[Board Representation|board representation]] and [[Move Generation|move generation]].
=See also=
* [[Giraffe]]
* [[CG 2016#Keynote|Keynote Lecture CG 2016 Conference]] by [[Shih-Chieh Huang|Aja Huang]]
* [[LCZeroLeela Chess Zero]]
=Selected Publications=
: [http://www.talkchess.com/forum/viewtopic.php?t=66025&start=3 Re: To TPU or not to TPU...] by [[Rémi Coulom]], [[CCC]], December 16, 2017
'''2018'''
* [http://www.talkchess.com/forum/viewtopic.php?t=66280 Announcing lczero] by [[Gary Linscott|Gary]], [[CCC]], January 09, 2018 » [[LCZeroLeela Chess Zero]]
* [http://www.talkchess.com/forum/viewtopic.php?t=66443 Connect 4 AlphaZero implemented using Python...] by [[Steve Maughan]], [[CCC]], January 29, 2018 » [[AlphaZero]], [[Connect Four]], [[Python]]
* [https://github.com/erikbern/deep-pink GitHub - erikbern/deep-pink: Deep Pink is a chess AI that learns to play chess using deep learning] » [[Deep Pink]]
* [https://github.com/benediamond/leela-chess GitHub - benediamond/leela-chess: A chess adaption of GCP's Leela Zero]
* [https://github.com/glinscott/leela-chess GitHub - glinscott/leela-chess: A chess adaption of GCP's Leela Zero] » [[LCZeroLeela Chess Zero]]
* [https://github.com/Zeta36/chess-alpha-zero GitHub - Zeta36/chess-alpha-zero: Chess reinforcement learning by AlphaGo Zero methods] » [[Zeta36]] <ref>[http://www.talkchess.com/forum/viewtopic.php?t=65909&start=41 Re: Google's AlphaGo team has been working on chess] by [[Brian Richardson]], [[CCC]], December 09, 2017</ref>
===Games===
