What is recorded here?
Combined policy and value networks with tree search to defeat a professional human Go player in the reported match.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The 2016 paper reports the 5–0 match against Fan Hui. Game performance is a capability benchmark, excluded from scientific-progress points.
Read the original work
- Mastering the game of Go with deep neural networks and tree search
- Mastering the game of Go with deep neural networks and tree search — deposited bibliography
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
David Silver; Aja Huang; Chris J. Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
AlphaGo · Google DeepMind · AlphaGo policy and value networks with tree search
Move selection in a human-designed game-playing evaluation. Source-reported attribution; provider attestation is unavailable.
Research locations and affiliations
Documented mapping · No scored country allocation
Documented countries / regions: United Kingdom, United States
Google DeepMind, 5 New Street Square, London EC4A 3TW, UK.; Google, 1600 Amphitheatre Parkway, Mountain View, California 94043, USA.
English catalogue narrative
AlphaGo: a landmark in game-playing capability
Combined policy and value networks with tree search to defeat a professional human Go player in the reported match.
Scientific scope
The 2016 paper reports the 5–0 match against Fan Hui. Game performance is a capability benchmark, excluded from scientific-progress points.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
David Silver; Aja Huang; Chris J. Maddison; Arthur Guez; Laurent Sifre; George van den Driessche; Julian Schrittwieser; Ioannis Antonoglou; Veda Panneershelvam; Marc Lanctot; Sander Dieleman; Dominik Grewe; John Nham; Nal Kalchbrenner; Ilya Sutskever; Timothy Lillicrap; Madeleine Leach; Koray Kavukcuoglu; Thore Graepel; Demis Hassabis
Full deposited paper byline or identified author of the scoped historical source. Association does not measure individual effort.
AlphaGo / Google DeepMind / AlphaGo policy and value networks with tree search: Move selection in a human-designed game-playing evaluation (source reported).