Deep Mind AI for Gaming Research
GPTKB entity
Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Research_Institute
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Deep_Mind_Research_Lab
|
| gptkbp:aims_to |
Improve AI Performance
|
| gptkbp:collaborates_with |
Various Game Developers
|
| gptkbp:contributed_to |
AI Safety Research
|
| gptkbp:developed_by |
gptkb:Deep_Mind_Technologies
|
| gptkbp:focuses_on |
Game Playing AI
|
| gptkbp:has_goal |
Advance Machine Learning Techniques
Create General AI Enhance Human-AI Collaboration |
| gptkbp:has_impact_on |
AI in Robotics
AI in Research AI in Entertainment |
| gptkbp:has_part |
Research Papers
Open Source Projects Collaborative Projects Technical Reports |
| https://www.w3.org/2000/01/rdf-schema#label |
Deep Mind AI for Gaming Research
|
| gptkbp:is_influenced_by |
gptkb:battle
Cognitive Science Neuroscience |
| gptkbp:is_known_for |
Alpha Go's Victory over Lee Sedol
Alpha Star's Performance in Star Craft II DQN's Breakthrough in Atari Games Mu Zero's Model-Based Reinforcement Learning |
| gptkbp:is_part_of |
gptkb:Deep_Mind_Technologies
AI Research Community |
| gptkbp:is_recognized_by |
Public Interest
Media Coverage Industry Recognition AI Research Awards Academic Citations |
| gptkbp:is_supported_by |
Research Collaborations
Academic Institutions Industry Partners |
| gptkbp:located_in |
gptkb:London,_UK
|
| gptkbp:notable_work |
gptkb:Mu_Zero
gptkb:Alpha_Go gptkb:DQN gptkb:Alpha_Star |
| gptkbp:outcome |
Advancements in AI Ethics
New AI Techniques Publications in AI Journals Improved Game AI Increased Interest in AI Research |
| gptkbp:provides_information_on |
gptkb:video_game
Simulations Real-World Scenarios |
| gptkbp:receives_funding_from |
gptkb:Alphabet_Inc.
Various Grants |
| gptkbp:technique |
gptkb:microprocessor
gptkb:software_framework gptkb:Deep_Learning |