NSF award 2602038 · Columbia University

Collaborative Research: MFAI: Stochastic Analysis of Reinforcement Learning and Generative Models

Final report due

29 December 2029

in 1,168 days · The award ends on 31 August 2029.

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Decide about an extension3 May 2029in 928 days
award ending 2029-08-31 · Research.gov
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Extension request17 Jul 2029in 1003 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2029in 1038 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2029in 1168 days
award ending 2029-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2029in 1168 days
award ending 2029-08-31 · 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 August 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2029.

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Award card

Award number: 2602038
Period of support: 1 Sep 2026 – 31 Aug 2029
Amount: $249,884
Awardee: Columbia University, NEW York, NY
Program: MSPA-INTERDISCIPLINARY, Special Projects - CCF, EPCL: Energy, Power, Control,, Special Initiatives
Directorate: MPS

Abstract

Artificial intelligence (AI) systems increasingly make decisions, generate data, and support scientific discovery in settings where uncertainty, time, and safety constraints matter. This research project will build mathematical foundations for two central branches of artificial intelligence: reinforcement learning, where an agent learns to make decisions from experience, and generative AI, where models create new…

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