Monte Carlo tree search

GPTKB entity

Statements (66)
Predicate Object
gptkbp:instance_of gptkb:Artificial_Intelligence
gptkbp:adapted_into multi-agent systems
different domains
gptkbp:applies_to decision processes
gptkbp:can_be_combined_with gptkb:neural_networks
random sampling
gptkbp:can_be_used_in planning problems
gptkbp:challenges large state spaces
high branching factor
balance exploration and exploitation
gptkbp:developed_by Coulom
gptkbp:has_applications_in gptkb:robotics
https://www.w3.org/2000/01/rdf-schema#label Monte Carlo tree search
gptkbp:improves domain knowledge
game AI
gptkbp:introduced_in gptkb:2006
gptkbp:is_adopted_by research institutions
gptkbp:is_analyzed_in performance metrics
case studies
gptkbp:is_based_on Monte Carlo methods
gptkbp:is_compared_to minimax algorithm
gptkbp:is_described_as tutorials
gptkbp:is_effective_against two-player games
gptkbp:is_enhanced_by parallel processing
heuristic evaluation
gptkbp:is_evaluated_by statistical analysis
tournaments
playout simulations
gptkbp:is_explored_in research papers
workshops
academic papers
real-time strategy games
AI development.
gptkbp:is_facilitated_by gptkb:cloud_computing
gptkbp:is_implemented_in various programming languages
various AI systems
gptkbp:is_influenced_by game tree search
gptkbp:is_integrated_with gptkb:software
other AI techniques
gptkbp:is_maintained_by user feedback
algorithmic improvements
gptkbp:is_popular_in gptkb:computer_science
gptkb:AI_technology
gptkbp:is_related_to reinforcement learning
gptkbp:is_studied_in computer science courses
gptkbp:is_supported_by community contributions
theoretical foundations
open-source libraries
gptkbp:is_tested_for human players
traditional algorithms
benchmark problems
gptkbp:is_used_by gptkb:Alpha_Go
gptkbp:is_used_for decision making
gptkbp:is_used_in gptkb:video_games
gptkbp:is_used_to optimize strategies
gptkbp:is_utilized_in puzzle solving
board games
simulation games
gptkbp:requires computational resources
gptkbp:suitable_for real-time applications
gptkbp:used_in game playing
gptkbp:utilizes tree structures
gptkbp:was_a_demonstration_of competitions
gptkbp:bfsParent gptkb:Alpha_Go
gptkb:Google_Deep_Mind_Challenge_Match
gptkbp:bfsLayer 5