|
gptkbp:instance_of
|
gptkb:Artificial_Intelligence
|
|
gptkbp:applies_to
|
gptkb:video_games
Board Games
|
|
gptkbp:collaborated_with
|
Various Research Institutions
|
|
gptkbp:competes_in
|
Game Competitions
|
|
gptkbp:developed_by
|
gptkb:Deep_Mind_Technologies
|
|
gptkbp:has_achieved
|
Superhuman Performance
|
|
gptkbp:has_applications_in
|
gptkb:vehicles
gptkb:Education
gptkb:robotics
Finance
Healthcare
|
|
gptkbp:has_research_focus
|
gptkb:User_Experience
gptkb:Multi-Agent_Systems
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:Artificial_Intelligence
gptkb:stage_adaptation
gptkb:strategy
Cognitive Science
Game Design
Neuroscience
Resource Management
Scalability
Strategic Planning
Algorithmic Efficiency
Robustness
Adversarial Training
Fairness in AI
Simulation Environments
Ethics in AI
Real-Time Decision Making
Exploration Strategies
Data Efficiency
Meta-Learning
Human-AI Collaboration
Hierarchical Reinforcement Learning
Reward Shaping
Curriculum Learning
Imitation Learning
Explainability in AI
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind's AI for Game Playing
|
|
gptkbp:influenced_by
|
gptkb:machine_learning
gptkb:Deep_Learning
|
|
gptkbp:notable_for
|
gptkb:Alpha_Go
gptkb:DQN
gptkb:Alpha_Star
|
|
gptkbp:uses
|
gptkb:neural_networks
gptkb:machine_learning
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|