Jonathan J. Hunt
E452096
Jonathan J. Hunt is a researcher in machine learning and control who is credited with introducing the Deep Deterministic Policy Gradient (DDPG) algorithm for continuous action reinforcement learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jonathan J. Hunt canonical | 1 |
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
researcher ⓘ |
| contributedTo | Deep Deterministic Policy Gradient algorithm NERFINISHED ⓘ |
| fieldOfWork |
control
ⓘ
machine learning ⓘ reinforcement learning ⓘ |
| knownFor | continuous action reinforcement learning methods ⓘ |
| notableFor | Deep Deterministic Policy Gradient algorithm NERFINISHED ⓘ |
| researchInterest |
continuous control
ⓘ
policy gradient methods ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.