Marc Lanctot
E441100
Marc Lanctot is a computer scientist and researcher in reinforcement learning and game AI, known for his contributions to deep reinforcement learning methods such as Dueling DQN.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marc Lanctot canonical | 2 |
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ researcher ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
game AI ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasContribution |
development of deep reinforcement learning methods
ⓘ
research on game-theoretic approaches in AI ⓘ research on value-based reinforcement learning ⓘ |
| knownFor |
Dueling DQN
NERFINISHED
ⓘ
deep reinforcement learning ⓘ research on decision-making under uncertainty ⓘ research on game-playing agents ⓘ |
| notableWork | Dueling DQN architecture for deep reinforcement learning NERFINISHED ⓘ |
| occupation |
computer scientist
ⓘ
research scientist ⓘ |
| researchInterest |
deep learning for control
ⓘ
game-playing AI ⓘ multi-agent systems ⓘ reinforcement learning algorithms ⓘ sequential decision making ⓘ |
| usesMethod |
Q-learning
ⓘ
deep neural networks ⓘ value function approximation ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.