NSF award 2641665 · University of Virginia Main Campus

Collaborative Research: CIF: Small: Inverse Reinforcement Learning with Heterogeneous Data: Estimation Algorithms with Finite Time and Sample Guarantees

Final report due

29 March 2028

in 528 days · The award ends on 30 November 2027.

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Decide about an extension2 Aug 2027in 288 days
award ending 2027-11-30 · Research.gov
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Extension request16 Oct 2027in 363 days
award ending 2027-11-30 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice20 Nov 2027in 398 days
award ending 2027-11-30 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Mar 2028in 528 days
award ending 2027-11-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Mar 2028in 528 days
award ending 2027-11-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Mar 2028in 528 days
award ending 2027-11-30 · 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 30 November 2027.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 March 2028.

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Award card

Award number: 2641665
Period of support: 1 Sep 2026 – 30 Nov 2027
Amount: $300,000
Awardee: University of Virginia Main Campus, Charlottesville, VA
Program: Comm & Information Foundations
Directorate: CSE

Abstract

Learning a structural model of dynamic decision-making helps us better understand and predict how agents, whether human or machine, make decisions over time in changing environments. Instead of just copying actions, this approach allows us to capture both the agent’s goals (preferences) and how it understands the world (environment dynamics). This provides a much deeper insight into behavior, enabling predictions…

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