NSF award 2542396 · North Carolina State University

CAREER: Foundations of Robust and Sample-Efficient Data-Driven Decision Making and Control

Final report due

29 July 2031

in 1,745 days · The award ends on 31 March 2031.

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award ending 2031-03-31 · Research.gov
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award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2031in 1615 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 March 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2031.

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Award card

Award number: 2542396
Period of support: 15 Apr 2026 – 31 Mar 2031
Amount: $509,248
Awardee: North Carolina State University, Raleigh, NC
Program: EPCL: Energy, Power, Control,
Directorate: ENG

Abstract

As engineering systems become more complex, it becomes progressively harder to obtain accurate physical models that describe their behavior. This had led to a shift from classical model-based control to data-driven and learning-based techniques, including reinforcement learning (RL). Despite the widespread use of RL algorithms across several domains, their design hinges crucially on the idealistic assumption of…

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