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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Statements (30)

Predicate	Object
instanceOf	machine learning researcher ⓘ person ⓘ
coAuthorOf	Dueling Network Architectures for Deep Reinforcement Learning NERFINISHED ⓘ
coAuthorWith	Hado van Hasselt NERFINISHED ⓘ Marc Lanctot NERFINISHED ⓘ Matteo Hessel NERFINISHED ⓘ Nando de Freitas NERFINISHED ⓘ Ziyu Wang NERFINISHED ⓘ
employer	Google DeepMind NERFINISHED ⓘ
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 NERFINISHED ⓘ
notableWork	Dueling Network Architectures for Deep Reinforcement Learning NERFINISHED ⓘ
occupation	computer scientist ⓘ research scientist ⓘ

Referenced by (3)

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 ⓘ