Nando de Freitas
E441101
Nando de Freitas is a prominent machine learning researcher known for his influential work in deep reinforcement learning and contributions to algorithms such as Dueling DQN.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nando de Freitas canonical | 1 |
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ machine learning researcher ⓘ |
| almaMater |
University of British Columbia
NERFINISHED
ⓘ
University of the Witwatersrand NERFINISHED ⓘ |
| citizenship |
Canada
ⓘ
Portugal NERFINISHED ⓘ |
| coAuthorOf |
A Unifying View of Sparse Approximate Gaussian Process Regression
NERFINISHED
ⓘ
Distributed Prioritized Experience Replay NERFINISHED ⓘ Dueling Network Architectures for Deep Reinforcement Learning NERFINISHED ⓘ Neural Programmer-Interpreters NERFINISHED ⓘ Practical Bayesian Optimization of Machine Learning Algorithms NERFINISHED ⓘ Reinforcement Learning with Unsupervised Auxiliary Tasks NERFINISHED ⓘ Sequential Monte Carlo Methods for Bayesian Filtering NERFINISHED ⓘ |
| countryOfOrigin | Portugal NERFINISHED ⓘ |
| doctoralAdvisor | Michael Jordan NERFINISHED ⓘ |
| employer | Google DeepMind NERFINISHED ⓘ |
| fieldOfWork |
deep learning
ⓘ
deep reinforcement learning ⓘ machine learning ⓘ reinforcement learning ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| hasResearchInterest |
Bayesian machine learning
ⓘ
approximate inference ⓘ control and decision making ⓘ probabilistic modeling ⓘ scalable learning algorithms ⓘ |
| hasTaughtAt |
University of British Columbia
NERFINISHED
ⓘ
University of Oxford NERFINISHED ⓘ |
| knownFor |
contributions to Dueling DQN
ⓘ
contributions to neural network optimization ⓘ contributions to scalable Bayesian methods ⓘ contributions to variational inference ⓘ deep reinforcement learning research ⓘ |
| languageSpoken |
English
ⓘ
Portuguese ⓘ |
| notableStudent | Yee Whye Teh NERFINISHED ⓘ |
| notableWork |
applications of deep learning to control
ⓘ
research on deep Q-learning variants ⓘ research on scalable Bayesian inference ⓘ |
| positionHeld |
professor of computer science at the University of British Columbia
ⓘ
professor of computer science at the University of Oxford ⓘ research scientist at DeepMind ⓘ senior researcher in machine learning ⓘ |
| workInstitution | Google DeepMind NERFINISHED ⓘ |
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.