Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
Monte Carlo tree search algorithm |
| gptkbp:appliesTo |
gptkb:General_Game_Playing
Go AI planning problems |
| gptkbp:basedOn |
Upper Confidence Bound (UCB1)
|
| gptkbp:citation |
Kocsis, L., & Szepesvári, C. (2006). Bandit based Monte-Carlo Planning. ECML 2006.
|
| gptkbp:component |
Monte Carlo Tree Search (MCTS)
|
| gptkbp:fullName |
Upper Confidence bounds applied to Trees
|
| https://www.w3.org/2000/01/rdf-schema#label |
UCT algorithm
|
| gptkbp:introduced |
Csaba Szepesvári
Levente Kocsis |
| gptkbp:introducedIn |
2006
|
| gptkbp:selectsNodesBy |
balancing exploration and exploitation
|
| gptkbp:usedFor |
decision making in large search spaces
|
| gptkbp:usedIn |
gptkb:artificial_intelligence
gptkb:reinforcement_learning game playing |
| gptkbp:bfsParent |
gptkb:Monte_Carlo_Tree_Search
|
| gptkbp:bfsLayer |
6
|