|
gptkbp:instance_of
|
gptkb:Artificial_Intelligence
|
|
gptkbp:adapted_into
|
multi-agent systems
specific games
different domains
|
|
gptkbp:analyzes
|
tree diagrams
|
|
gptkbp:applies_to
|
decision processes
|
|
gptkbp:can_be_combined_with
|
Monte Carlo methods
|
|
gptkbp:can_be_used_for
|
planning problems
|
|
gptkbp:challenges
|
implement effectively
high branching factor
|
|
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
|
game AI
|
|
gptkbp:introduced_in
|
gptkb:2006
|
|
gptkbp:is_analyzed_in
|
data scientists
|
|
gptkbp:is_based_on
|
tree search algorithms
|
|
gptkbp:is_challenged_by
|
dynamic environments
adversarial environments
|
|
gptkbp:is_compared_to
|
minimax algorithm
|
|
gptkbp:is_documented_in
|
research papers
technical reports
|
|
gptkbp:is_effective_against
|
two-player games
|
|
gptkbp:is_enhanced_by
|
deep learning
parallel processing
user feedback
|
|
gptkbp:is_evaluated_by
|
performance metrics
human players
empirical studies
backpropagation
playout simulations
|
|
gptkbp:is_explored_in
|
gptkb:academic_research
real-time applications
theoretical studies
complex decision making
|
|
gptkbp:is_implemented_in
|
various programming languages
AI researchers
|
|
gptkbp:is_influenced_by
|
statistical methods
|
|
gptkbp:is_influential_in
|
AI development
|
|
gptkbp:is_integrated_with
|
heuristic evaluation
other AI techniques
|
|
gptkbp:is_maintained_by
|
domain knowledge
|
|
gptkbp:is_optimized_for
|
tree policy
|
|
gptkbp:is_popular_for
|
gptkb:Go
|
|
gptkbp:is_popular_in
|
gptkb:computer_science
|
|
gptkbp:is_recognized_as
|
a breakthrough in AI.
|
|
gptkbp:is_recognized_for
|
its efficiency
|
|
gptkbp:is_related_to
|
gptkb:Alpha_Go
|
|
gptkbp:is_supported_by
|
gptkb:machine_learning
community contributions
open-source libraries
|
|
gptkbp:is_tested_for
|
tournaments
simulated environments
various platforms
|
|
gptkbp:is_used_in
|
gptkb:video_games
|
|
gptkbp:is_used_to
|
optimize strategies
|
|
gptkbp:is_utilized_by
|
gptkb:game_developers
|
|
gptkbp:is_utilized_in
|
AI competitions
|
|
gptkbp:requires
|
computational resources
|
|
gptkbp:used_in
|
game playing
|
|
gptkbp:utilizes
|
random sampling
|
|
gptkbp:bfsParent
|
gptkb:Alpha_Go
gptkb:Kata_Go
|
|
gptkbp:bfsLayer
|
5
|