Nicolas Heess

E444207

computer scientist machine learning researcher person

Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).

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All labels observed (1)

Label	Occurrences
Nicolas Heess canonical	1

Statements (34)

Predicate	Object
instanceOf	computer scientist ⓘ machine learning researcher ⓘ person ⓘ
countryOfCitizenship	Germany ⓘ
educatedAt	University College London ⓘ
employer	DeepMind NERFINISHED ⓘ
fieldOfStudy	computer science ⓘ
fieldOfWork	artificial intelligence ⓘ deep learning ⓘ deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ
gender	male ⓘ
hasAffiliation	DeepMind NERFINISHED ⓘ
hasCoAuthor	Alexander Pritzel NERFINISHED ⓘ Daan Wierstra NERFINISHED ⓘ Koray Kavukcuoglu NERFINISHED ⓘ Martin Riedmiller NERFINISHED ⓘ Timothy P. Lillicrap NERFINISHED ⓘ Yee Whye Teh NERFINISHED ⓘ
hasRole	principal research scientist ⓘ research scientist ⓘ
knownFor	DDPG NERFINISHED ⓘ Deep Deterministic Policy Gradient NERFINISHED ⓘ continuous control in reinforcement learning ⓘ model-free reinforcement learning algorithms ⓘ
notableWork	Deep Deterministic Policy Gradient NERFINISHED ⓘ
researchInterest	continuous action spaces ⓘ control and robotics ⓘ model-based reinforcement learning ⓘ policy gradient methods ⓘ
worksOn	deep reinforcement learning algorithms for control ⓘ neural network function approximation in RL ⓘ scalable reinforcement learning ⓘ

Referenced by (1)

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

DDPG → introducedBy → Nicolas Heess ⓘ