Mastering the game of Go without human knowledge

Silver, David M.; Schrittwieser, Julian; Simonyan, Karen; Antonoglou, Ioannis; Huang, Aja; Guez, Arthur; Hubert, Thomas; Baker, Lucas; Lai, Matthew; Bolton, Adrian; Chen, Yutian; Lillicrap, Timothy P.; Hui, Fan; Sifre, Laurent; van den Driessche, George; Graepel, Thore; Hassabis, Demis

doi:10.1038/nature24270

Record: found
Abstract: found
Article: not found

Mastering the game of Go without human knowledge

Author(s): David Silver , Julian Schrittwieser , Karen Simonyan , Ioannis Antonoglou , 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

Publication date Created: October 18 2017

Publication date (Print): October 18 2017

Journal: Nature

Publisher: Springer Nature

Read this article at

ScienceOpenPublisher PubMed

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves