Tom Erez

E441109

person researcher

Tom Erez is a researcher in machine learning and control, known for his work on deep reinforcement learning algorithms such as Deep Deterministic Policy Gradient (DDPG).

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All labels observed (1)

Label	Occurrences
Tom Erez canonical	1

Statements (31)

Predicate	Object
instanceOf	person ⓘ researcher ⓘ
coAuthorOf	Continuous control with deep reinforcement learning NERFINISHED ⓘ
coAuthorWith	Alexander Pritzel NERFINISHED ⓘ Daan Wierstra NERFINISHED ⓘ David Silver NERFINISHED ⓘ Jonathan J. Hunt NERFINISHED ⓘ Nicolas Heess NERFINISHED ⓘ Timothy P. Lillicrap NERFINISHED ⓘ Yuval Tassa NERFINISHED ⓘ
fieldOfWork	control ⓘ deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ
hasContribution	development of deep reinforcement learning algorithms for continuous control ⓘ integration of deterministic policy gradients with deep function approximators ⓘ
hasResearchInterest	continuous action spaces ⓘ deep neural networks for control ⓘ model-based control ⓘ optimal control ⓘ policy gradient methods ⓘ robot control ⓘ
knownFor	applications of deep learning to control problems ⓘ contributions to continuous control in reinforcement learning ⓘ
notableFor	work on Deep Deterministic Policy Gradient (DDPG) ⓘ
publicationVenue	International Conference on Learning Representations (ICLR) NERFINISHED ⓘ
usesMethod	deep neural networks ⓘ deterministic policy gradient ⓘ off-policy learning in reinforcement learning ⓘ
worksOn	algorithms for continuous control tasks ⓘ deep reinforcement learning for physical control systems ⓘ

Referenced by (1)

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

DDPG → introducedBy → Tom Erez ⓘ