Monte Carlo tree search

GPTKB entity

Properties (71)
Predicate Object
gptkbp:instanceOf algorithm
gptkbp:appliesTo decision processes
gptkbp:developedBy Coulom
gptkbp:hasRelatedPatent robotics
https://www.w3.org/2000/01/rdf-schema#label Monte Carlo tree search
gptkbp:improves game_AI
gptkbp:isActiveIn research studies
gptkbp:isAvenueFor financial modeling
supply chain management
video games
real-time decision making
multi-agent systems
different domains
gptkbp:isBasedOn tree search
gptkbp:isChallengedBy adversarial strategies
gptkbp:isCharacterizedBy exploration and exploitation
gptkbp:isCitedBy user feedback
gptkbp:isEnhancedBy data analysis
machine learning
parallel processing
user interfaces
collaborative efforts
gptkbp:isEvaluatedBy human players
simulation results
large search spaces
gptkbp:isExploredIn workshops
case studies
conferences
simulations
academic papers
research groups
gptkbp:isFacilitatedBy cloud computing
gptkbp:isInfluencedBy probability theory
game theory
gptkbp:isIntegratedWith data mining techniques
heuristic evaluations
gptkbp:isLocatedIn Go
various programming languages
chess
gptkbp:isPartOf reinforcement learning
minimax algorithm
gptkbp:isPopularFor two-player games
gptkbp:isPopularIn computer science
gptkbp:isRelatedTo gptkb:AlphaGo
gptkbp:isSupportedBy community contributions
software tools
empirical evidence
theoretical foundations
gptkbp:isTestedFor various algorithms
benchmark datasets
gptkbp:isTrainedIn real-world scenarios
tournaments
traditional methods
gptkbp:isUsedBy optimize performance
evaluate strategies
determine optimal moves
gptkbp:isUsedFor planning
neural networks
risk assessment
optimization problems
Monte_Carlo_methods
gptkbp:isUsedIn AI research
gptkbp:isUtilizedFor resource allocation
AI systems
gptkbp:isUtilizedIn strategic planning
healthcare_decision_making
gptkbp:isVisitedBy complex games
gptkbp:requires computational resources
gptkbp:usedIn game playing
gptkbp:utilizes random sampling
gptkbp:wasAffecting 2006