|
gptkbp:instance_of
|
gptkb:research
|
|
gptkbp:aims_to
|
Enhance gaming experience
Solve complex problems
Advance AI capabilities
|
|
gptkbp:collaborates_with
|
Various universities
|
|
gptkbp:contributes_to
|
gptkb:neural_networks
gptkb:machine_learning
gptkb:Deep_Learning
|
|
gptkbp:develops
|
Game-playing AI
|
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
|
|
gptkbp:has_achieved
|
Superhuman performance in games
Breakthroughs in AI research
|
|
gptkbp:has_collaborated_with
|
gptkb:Stanford_University
gptkb:University_College_London
gptkb:University_of_Alberta
gptkb:MIT
gptkb:Open_AI
|
|
gptkbp:has_impact_on
|
Game design
AI safety
AI ethics
Human-AI collaboration
|
|
gptkbp:has_publications
|
Research papers
Technical reports
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind's Game AI Research
|
|
gptkbp:is_evaluated_by
|
gptkb:Publications
Competitions
Conferences
Peer reviews
|
|
gptkbp:is_influenced_by
|
gptkb:psychology
Cognitive science
Computer science
Neuroscience
|
|
gptkbp:is_known_for
|
Alpha Go's victory over Lee Sedol
Alpha Star's performance in Star Craft II
DQN's success in Atari games
Mu Zero's model-based reinforcement learning
|
|
gptkbp:is_located_in
|
gptkb:London
|
|
gptkbp:is_part_of
|
AI research community
|
|
gptkbp:is_recognized_by
|
gptkb:award
gptkb:Partnerships
Grants
Fellowships
|
|
gptkbp:is_supported_by
|
gptkb:Alphabet_Inc.
gptkb:Google
|
|
gptkbp:notable_project
|
gptkb:Mu_Zero
gptkb:Alpha_Go
gptkb:DQN
gptkb:Alpha_Star
|
|
gptkbp:part_of
|
gptkb:Deep_Mind
|
|
gptkbp:uses
|
gptkb:machine_learning
Data analysis
Simulation environments
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind
|
|
gptkbp:bfsLayer
|
5
|