Julian Schrittwieser
E754250
Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Julian Schrittwieser canonical | 2 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ software engineer ⓘ |
| areaOfExpertise |
deep reinforcement learning
ⓘ
game-playing neural networks ⓘ |
| contributedTo |
development of AlphaZero
ⓘ
research on general game-playing AI ⓘ |
| employer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
game-playing algorithms ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasRole |
AI researcher
ⓘ
research engineer ⓘ |
| knownFor |
work on AlphaZero
ⓘ
work on game-playing AI systems ⓘ work on reinforcement learning ⓘ |
| notableWork |
AlphaZero
NERFINISHED
ⓘ
advanced reinforcement learning systems ⓘ |
| usesMethod |
Monte Carlo tree search
NERFINISHED
ⓘ
deep neural networks ⓘ self-play reinforcement learning ⓘ |
| workLocation | London (DeepMind headquarters) NERFINISHED ⓘ |
| worksOn |
advanced game-playing systems
ⓘ
general-purpose reinforcement learning agents ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.