Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:basedOn |
gptkb:AlphaGo
|
| gptkbp:developedBy |
gptkb:DeepMind
|
| gptkbp:game |
gptkb:Go
|
| gptkbp:hardware |
gptkb:Google_Cloud_Platform
|
| https://www.w3.org/2000/01/rdf-schema#label |
AlphaGo Lee
|
| gptkbp:influenced |
AI research in games
|
| gptkbp:inspiredBy |
documentary AlphaGo
|
| gptkbp:location |
gptkb:Seoul,_South_Korea
|
| gptkbp:matchDateEnd |
2016-03-15
|
| gptkbp:matchDateStart |
2016-03-09
|
| gptkbp:mediaCoverage |
extensive international media attention
|
| gptkbp:notableFor |
first AI to defeat a 9-dan professional Go player in a match
|
| gptkbp:numberOfPlayers |
5
|
| gptkbp:playedAgainst |
gptkb:Lee_Sedol
|
| gptkbp:result |
AlphaGo Lee won 4-1
|
| gptkbp:technique |
gptkb:reinforcement_learning
deep neural networks Monte Carlo tree search |
| gptkbp:year |
2016
|
| gptkbp:bfsParent |
gptkb:AlphaGo_Zero
gptkb:AlphaGo_vs_Lee_Sedol_(2016) |
| gptkbp:bfsLayer |
7
|