Tom Schaul

E512320
machine learning researcher person

Tom Schaul is a machine learning researcher known for his contributions to deep reinforcement learning, including co-developing the Dueling DQN architecture.

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Label Occurrences
Tom Schaul canonical 10

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Statements (30)

Predicate Object
instanceOf machine learning researcher ⓘ
person ⓘ
coAuthorOf Dueling Network Architectures for Deep Reinforcement Learning ⓘ
linked to: Dueling DQN
coAuthorWith Hado van Hasselt ⓘ
Marc Lanctot ⓘ
Matteo Hessel ⓘ
Nando de Freitas ⓘ
Ziyu Wang ⓘ
employer Google DeepMind ⓘ
linked to: DeepMind
fieldOfWork artificial intelligence ⓘ
deep reinforcement learning ⓘ
machine learning ⓘ
reinforcement learning ⓘ
gender male ⓘ
hasCitationCount high ⓘ
hasInfluenceOn deep reinforcement learning algorithms ⓘ
value-based deep RL architectures ⓘ
hasResearchInterest continual learning ⓘ
deep Q-learning ⓘ
neural network architectures for RL ⓘ
optimization in deep learning ⓘ
representation learning ⓘ
value-based reinforcement learning ⓘ
knownFor co-developing the Dueling DQN architecture ⓘ
deep reinforcement learning research ⓘ
language English ⓘ
memberOf DeepMind ⓘ
notableWork Dueling Network Architectures for Deep Reinforcement Learning ⓘ
linked to: Dueling DQN
occupation computer scientist ⓘ
research scientist ⓘ

How these facts were elicited

Referenced by (10)

Full triples — surface form annotated when it differs from this entity's canonical label.

Dueling DQN → introducedBy → Tom Schaul ⓘ
Prioritized Experience Replay DQN → proposedBy → Tom Schaul ⓘ
Rainbow DQN → proposedBy → Tom Schaul ⓘ
Ziyu Wang → coAuthorWith → Tom Schaul ⓘ
Matteo Hessel → coAuthorWith → Tom Schaul ⓘ
Yuval Tassa → coAuthorWith → Tom Schaul ⓘ
Universal Value Function Approximators → introducedBy → Tom Schaul ⓘ
Rainbow: Combining Improvements in Deep Reinforcement Learning → author → Tom Schaul ⓘ
subject linked to: Dan Horgan
Bilal Piot → hasCoAuthor → Tom Schaul ⓘ
Joel Veness → coauthoredWith → Tom Schaul ⓘ