Daniel Horgan

E1300864 UNEXPLORED

Daniel Horgan is a machine learning researcher known for co-introducing Universal Value Function Approximators, a framework for generalizing value functions across goals in reinforcement learning.

All labels observed (1)

Label Occurrences
Daniel Horgan canonical 1

How this entity was disambiguated

Referenced by (1)

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