Mastering Atari, Go, chess and shogi by planning with a learned model
JSJulian SchrittwieserIAIoannis AntonoglouTHThomas HubertKSKaren SimonyanLSLaurent Sifre
Google DeepMind (United Kingdom) · University College London · +1 more institution
Indexed inarxivcrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
1,083
total citations
- FWCI
- 76.30
- Percentile
- 100%
- References
- 36
Citations per year
Authors
12- JSJulian SchrittwieserCorresponding
Google DeepMind (United Kingdom)
- IAIoannis Antonoglou
Google DeepMind (United Kingdom), University College London
- THThomas Hubert
Google DeepMind (United Kingdom)
- KSKaren Simonyan
Google DeepMind (United Kingdom)
- LSLaurent Sifre
Google DeepMind (United Kingdom)
Topics & keywords
Topics
Keywords
- Function (biology)
- Range (aeronautics)
- Evaluation function
- Video game
- Automated planning and scheduling
- Value (mathematics)
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