|
gptkbp:instance_of
|
gptkb:Artificial_Intelligence
|
|
gptkbp:adapted_into
|
opponent strategies
Different Strategies
|
|
gptkbp:can_perform
|
Complex Strategies
|
|
gptkbp:case_analysis
|
AI ethics
|
|
gptkbp:challenges
|
Against Human Players
|
|
gptkbp:competes_in
|
gptkb:Star_Craft_II
Real-Time Strategy Games
|
|
gptkbp:competes_with
|
Human players
|
|
gptkbp:contributes_to
|
understanding of AI learning
|
|
gptkbp:defeated
|
professional players
|
|
gptkbp:demonstrated_skill_level
|
Human Players
|
|
gptkbp:designed_for
|
gptkb:Star_Craft_II
|
|
gptkbp:developed_by
|
gptkb:Deep_Mind
Machine Learning Techniques
|
|
gptkbp:example
|
AI in competitive gaming
|
|
gptkbp:exhibited_at
|
AI conferences
|
|
gptkbp:exhibits
|
multi-agent learning
|
|
gptkbp:first_match
|
gptkb:2019
|
|
gptkbp:has_a_win_rate_against
|
human players
|
|
gptkbp:has_achieved
|
Grandmaster rank
|
|
gptkbp:has_collaborated_with
|
gptkb:game_developers
|
|
gptkbp:has_community_interest_in
|
AI and e Sports
|
|
gptkbp:has_game_adaptability
|
Dynamic Strategies
|
|
gptkbp:has_game_environment
|
Star Craft II Map
|
|
gptkbp:has_game_insights
|
Player Behavior Analysis
|
|
gptkbp:has_game_knowledge
|
Star Craft II Mechanics
|
|
gptkbp:has_game_learning
|
Continuous Improvement
|
|
gptkbp:has_game_objectives
|
Resource Management
|
|
gptkbp:has_implications_for
|
human-AI collaboration
AI and Gaming
|
|
gptkbp:has_influenced
|
AI Development
AI development in gaming
|
|
gptkbp:has_inspired
|
future AI projects
|
|
gptkbp:has_method
|
Self-Play
|
|
gptkbp:has_natural_feature
|
Adaptive Learning
|
|
gptkbp:has_performance
|
Consistent Results
High Win Rates
|
|
gptkbp:has_publications
|
gptkb:AI_Research
|
|
gptkbp:has_received
|
media attention
|
|
gptkbp:has_training_data_from
|
Human Games
|
|
gptkbp:historical_achievement
|
gptkb:AI_technology
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Alpha Star
|
|
gptkbp:impact
|
On AI Research Community
|
|
gptkbp:is_a_subject_of
|
academic papers
|
|
gptkbp:is_a_tool_for
|
AI research advancement
|
|
gptkbp:is_analyzed_in
|
gptkb:researchers
|
|
gptkbp:is_associated_with
|
Deep Mind's mission
|
|
gptkbp:is_based_on
|
gptkb:Deep_Reinforcement_Learning
|
|
gptkbp:is_capable_of
|
Real-Time Decision Making
real-time strategy
|
|
gptkbp:is_compared_to
|
other AI systems
|
|
gptkbp:is_considered
|
A Leader in AI Gaming.
A Milestone in AI Development
|
|
gptkbp:is_considered_as
|
A Benchmark for AI
|
|
gptkbp:is_designed_to
|
improve AI capabilities
|
|
gptkbp:is_displayed_in
|
the potential of AI in esports
|
|
gptkbp:is_evaluated_by
|
Game Analysis
Game Performance
Game Metrics
|
|
gptkbp:is_featured_in
|
gptkb:documentaries
news articles
|
|
gptkbp:is_influenced_by
|
gptkb:strategy
|
|
gptkbp:is_known_for
|
high-level play
High-Level Play
Innovative AI Techniques
|
|
gptkbp:is_part_of
|
gptkb:AI_Research
gptkb:AI_technology
AI Competitions
AI Ethics Discussions
AI History
the evolution of AI technology
AI Development Initiatives
Deep Mind's AI Projects
AI vs Human competitions
the future of gaming AI
|
|
gptkbp:is_played_by
|
Multiple Races
Thousands of Games
over 2000 games
|
|
gptkbp:is_recognized_by
|
AI Researchers
the AI community
|
|
gptkbp:is_recognized_for
|
Strategic Depth
pioneering AI in esports
|
|
gptkbp:is_tested_for
|
various skill levels
Competitive Matches
AI Robustness
Various AI Models
Various Matchups
|
|
gptkbp:is_trained_in
|
Multiple Accounts
100,000 games
|
|
gptkbp:is_used_in
|
AI Training Programs
test AI algorithms
|
|
gptkbp:latest_version
|
gptkb:Star_Craft_II:_Legacy_of_the_Void
|
|
gptkbp:leadership
|
AI strategy games
|
|
gptkbp:marketing_strategy
|
Counter Strategies
Micro and Macro Management
|
|
gptkbp:notable_achievement
|
gptkb:machine_learning
|
|
gptkbp:notable_examples
|
AI in entertainment
|
|
gptkbp:notable_release
|
January 2019
|
|
gptkbp:performance
|
Win Rate
AI performance
|
|
gptkbp:played_against
|
Professional Players
Top Players
|
|
gptkbp:project
|
gptkb:Deep_Mind_Technologies
|
|
gptkbp:rank
|
gptkb:Grandmaster
|
|
gptkbp:released_in
|
gptkb:2019
January 2019
|
|
gptkbp:style_of_play
|
Aggressive and Defensive
|
|
gptkbp:uses
|
gptkb:machine_learning
self-play training
|
|
gptkbp:utilizes
|
gptkb:neural_networks
|
|
gptkbp:was_a_demonstration_of
|
superhuman performance
strategic gameplay
complex decision making
AI capabilities in gaming
|
|
gptkbp:was_involved_in
|
AI competitions
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
gptkb:Deep_Mind_Technologies
gptkb:Google_Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|