Alexander Pritzel

E441108

machine learning researcher person

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

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All labels observed (1)

Label	Occurrences
Alexander Pritzel canonical	2

Statements (31)

Predicate	Object
instanceOf	machine learning researcher ⓘ person ⓘ
affiliation	DeepMind NERFINISHED ⓘ
coAuthorWith	Daan Wierstra NERFINISHED ⓘ David Silver NERFINISHED ⓘ Demis Hassabis NERFINISHED ⓘ Koray Kavukcuoglu NERFINISHED ⓘ Nicolas Heess NERFINISHED ⓘ Timothy P. Lillicrap NERFINISHED ⓘ Tom Erez NERFINISHED ⓘ Yuval Tassa NERFINISHED ⓘ
educatedAt	Technical University of Munich NERFINISHED ⓘ
employer	Google DeepMind NERFINISHED ⓘ
fieldOfWork	deep learning ⓘ deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ
hasRole	research scientist ⓘ
knownFor	DDPG NERFINISHED ⓘ Deep Deterministic Policy Gradient NERFINISHED ⓘ deep reinforcement learning algorithms ⓘ
nationality	German ⓘ
notableWork	research on Deep Deterministic Policy Gradient ⓘ
publicationVenue	ICLR NERFINISHED ⓘ International Conference on Learning Representations NERFINISHED ⓘ NeurIPS NERFINISHED ⓘ Neural Information Processing Systems NERFINISHED ⓘ
researchInterest	continuous control ⓘ neural network function approximation ⓘ policy gradient methods ⓘ value-based reinforcement learning ⓘ

Referenced by (2)

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

DDPG → introducedBy → Alexander Pritzel ⓘ

Jumper et al., Nature 2021 → hasAuthor → Alexander Pritzel ⓘ