Game-Playing AI
Google DeepMind › Research Areas › game-playing-ai
Record Metadata
| Record Key | game-playing-ai |
| Entity | Google DeepMind |
| Collection | Research Areas(4 records total) |
| Schema | Major research initiatives and focus areas. |
| YAML File | packages/kb/data/things/A4XoubikkQ.yaml |
Fields
| Name | Game-Playing AI |
| Description | Reinforcement learning for complex games including Go, chess, StarCraft, and Diplomacy |
| Started | Jan 2013 |
| Key Publication | nature.com↗ |
| Notes | AlphaGo (2016), AlphaZero (2017), AlphaStar (2019) |
Other Records in Research Areas (3)
| Key | Name | Description | Started |
|---|
| protein-structure-prediction | Protein Structure Prediction | Deep learning for predicting 3D protein structures from amino acid sequences | Jan 2016 |
| neuroscience-inspired-ai | Neuroscience-Inspired AI | Using insights from neuroscience to improve AI architectures and learning algorithms | Sep 2010 |
| ai-safety | AI Safety | Responsible AI development including alignment, robustness, and societal impact | Jan 2017 |