Difference between revisions of "Gian-Carlo Pascutto"

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=Leela Zero=
 
=Leela Zero=
More recently,  after [[DeepMind]] published the [[AlphaGo#Zero|AlphaGo Zero]] paper <ref>[[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550, [https://www.gwern.net/docs/rl/2017-silver.pdf pdf]</ref>, Gian-Carlo Pascutto designed and initiated [[Leela Zero]] <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>, a Go playing entity using [[Monte-Carlo Tree Search|MCTS]] (but without Monte Carlo playouts) and a [[Neural Networks#Deep|deep]] [[Neural Networks#Residual|residual]] [[Neural Networks#Convolutional|convolutional neural network]] stack, trained by a public, distributed effort, as [[LCZero]] also adapted to chess <ref>[http://www.talkchess.com/forum/viewtopic.php?t=66280 Announcing lczero] by [[Gary Linscott|Gary]], [[CCC]], January 09, 2018
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More recently,  after [[DeepMind]] published the [[AlphaGo#Zero|AlphaGo Zero]] paper <ref>[[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550, [https://www.gwern.net/docs/rl/2017-silver.pdf pdf]</ref>, Gian-Carlo Pascutto designed and initiated [[Leela Zero]] <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>, a Go playing entity using [[Monte-Carlo Tree Search|MCTS]] (but without Monte Carlo playouts) and a [[Neural Networks#Deep|deep]] [[Neural Networks#Residual|residual]] [[Neural Networks#Convolutional|convolutional neural network]] stack, trained by a public, distributed effort, as [[Leela Chess Zero]] also adapted to chess <ref>[http://www.talkchess.com/forum/viewtopic.php?t=66280 Announcing lczero] by [[Gary Linscott|Gary]], [[CCC]], January 09, 2018 </ref> <ref>[https://github.com/glinscott/leela-chess GitHub - glinscott/leela-chess: A chess adaption of GCP's Leela Zero]</ref>.  
</ref> <ref>[https://github.com/glinscott/leela-chess GitHub - glinscott/leela-chess: A chess adaption of GCP's Leela Zero]</ref>.  
 
  
 
=Forum Posts=
 
=Forum Posts=

Revision as of 16:46, 23 July 2018

Home * People * Gian-Carlo Pascutto

Gian-Carlo Pascutto [1]

Gian-Carlo Pascutto, (GCP)
a Belgian [2] computer scientist, and computer chess and Go programmer with further interests in sound recording and reproduction and digital signal processing [3]. Gian-Carlo is author of the free open source chess and chess variants engine Sjeng [4], the chess engine Deep Sjeng, which emerged from the closed source Sjeng 12.7 branch [5] since 2003 commercial [6], the experimental chess engine Stoofvlees, and the Go playing program Leela [7].

Leela Zero

More recently, after DeepMind published the AlphaGo Zero paper [8], Gian-Carlo Pascutto designed and initiated Leela Zero [9], a Go playing entity using MCTS (but without Monte Carlo playouts) and a deep residual convolutional neural network stack, trained by a public, distributed effort, as Leela Chess Zero also adapted to chess [10] [11].

Forum Posts

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External Links

References

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