Statements (38)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
|
| gptkbp:advantage |
domain independence
anytime property asymmetrical tree growth |
| gptkbp:category |
gptkb:algorithm
gptkb:search_engine stochastic algorithm AI algorithm |
| gptkbp:component |
backpropagation
expansion selection update tree search rollout random simulation |
| gptkbp:fullName |
gptkb:Monte_Carlo_Tree_Search
|
| https://www.w3.org/2000/01/rdf-schema#label |
MCTS
|
| gptkbp:introducedIn |
2006
|
| gptkbp:inventedBy |
gptkb:Rémi_Coulom
|
| gptkbp:limitation |
high computational cost
difficulty with sparse rewards scalability issues in large state spaces |
| gptkbp:notableFor |
gptkb:Go
gptkb:General_Game_Playing Chess |
| gptkbp:relatedTo |
gptkb:UCT
gptkb:Monte_Carlo_method gptkb:AlphaGo gptkb:Minimax |
| gptkbp:usedBy |
gptkb:DeepMind
gptkb:AlphaZero gptkb:Leela_Zero |
| gptkbp:usedIn |
gptkb:artificial_intelligence
gptkb:reinforcement_learning planning game playing |
| gptkbp:bfsParent |
gptkb:Monte_Carlo_Tree_Search
|
| gptkbp:bfsLayer |
6
|