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Grant: Postgraduate Scholarships - Doctoral

Carnegie Mellon University

$21,000.00

Sequential Decision-Making Algorithms in the Public Sector

EF 2022-23

Résumé
Sequential Decision-making, Bandits, Active Learning, Reinforcement Learning, Public policy, Concept Drift, Multi-objective optimization, Algorithm Design, Corrupted Data, Batched Feedback
Programme
Postgraduate Scholarships - Doctoral
Emplacement
Pennsylvania, UNITED STATES
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
567944-2022
Name nom
Chugg, Ben BIH
Department département
Machine Learning
Organization id
1521
Institution établissement
Carnegie Mellon University
Province en
Pennsylvania
Province fr
Pennsylvanie
Country en
UNITED STATES
Country fr
ÉTATS-UNIS
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
21000
Program id
PGSD
Program name en
Postgraduate Scholarships - Doctoral
Program name fr
Bourses d'études supérieures - doctorat
Group en
RESEARCH TRAINING AND TALENT DEVELOPMENT
Group fr
FORMATION EN RECHERCHE ET PERFECTIONNEMENT DES COM
Committee code
198
Committee name en
S&F Committee for Computing Sciences
Committee name fr
Comité de sélection des bourses en informatique
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:1;3
Partie
3
Nb partie
3
Application title
Sequential Decision-Making Algorithms in the Public Sector
Application summary
Sequential Decision-making, Bandits, Active Learning, Reinforcement Learning, Public policy, Concept Drift, Multi-objective optimization, Algorithm Design, Corrupted Data, Batched Feedback