Phil Moritz
E441107
Phil Moritz is a computer scientist known for his work in reinforcement learning and scalable machine learning systems, including contributions to algorithms like TRPO.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Phil Moritz canonical | 1 |
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf | computer scientist ⓘ |
| fieldOfWork |
computer science
ⓘ
machine learning ⓘ reinforcement learning ⓘ scalable machine learning systems ⓘ |
| hasExpertise |
deep reinforcement learning
ⓘ
distributed computing for machine learning ⓘ large-scale learning systems ⓘ optimization for RL algorithms ⓘ policy gradient methods ⓘ |
| knownFor |
contributions to Trust Region Policy Optimization (TRPO)
ⓘ
contributions to distributed machine learning infrastructure ⓘ contributions to reinforcement learning algorithms ⓘ work in reinforcement learning ⓘ work on scalable machine learning systems ⓘ |
| researchInterest |
distributed reinforcement learning
ⓘ
policy optimization methods ⓘ reinforcement learning algorithms ⓘ scalable training of machine learning models ⓘ systems for machine learning experiments ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.