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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
URI:
https://gptkb.org/entity/Mastering_Atari,_Go,_Chess_and_Shogi_by_Planning_with_a_Learned_Model
GPTKB entity
Statements (38)
Predicate
Object
gptkbp:instanceOf
gptkb:academic_journal
gptkbp:affiliation
gptkb:DeepMind
gptkbp:author
gptkb:Julian_Schrittwieser
gptkb:Thomas_Hubert
gptkb:Ioannis_Antonoglou
gptkb:David_Silver
gptkb:Demis_Hassabis
gptkb:Lucas_Baker
gptkb:Adrià_Puigdomènech
gptkb:John_Schrittwieser
gptkb:Laurent_Sifre
gptkb:Matthew_Lai
gptkb:Maximilian_Schrittwieser
gptkb:Thore_Graepel
gptkb:Karen_Simonyan
gptkb:Timothy_Lillicrap
gptkb:Aja_Huang
gptkb:Arthur_Guez
gptkbp:citation
gptkb:AlphaZero
gptkb:AlphaGo
gptkb:Monte_Carlo_Tree_Search
gptkbp:demonstrates
MuZero outperforms previous methods in Atari, Go, Chess, and Shogi
gptkbp:describesAlgorithm
gptkb:MuZero
gptkbp:doi
10.1038/s41586-019-1724-z
https://www.w3.org/2000/01/rdf-schema#label
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
gptkbp:language
English
gptkbp:publicationDate
2019-11-21
gptkbp:publishedIn
gptkb:Nature
gptkbp:publisher
gptkb:Nature_Publishing_Group
gptkbp:topic
gptkb:artificial_intelligence
gptkb:AlphaZero
gptkb:reinforcement_learning
gptkb:MuZero
game playing AI
model-based planning
gptkbp:url
https://www.nature.com/articles/s41586-019-1724-z
gptkbp:bfsParent
gptkb:Julian_Schrittwieser
gptkbp:bfsLayer
7