NSF award 2610563 · University of Miami

Distributional Reinforcement Learning for Risk-Sensitive Sequential Decision Making: New Theory and Methods

Final report due

28 October 2029

in 1,106 days · The award ends on 30 June 2029.

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Final report due28 Oct 2029in 1106 days
award ending 2029-06-30 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Oct 2029in 1106 days
award ending 2029-06-30 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Oct 2029in 1106 days
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NSF lists this award's end date as 30 June 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 October 2029.

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Award card

Award number: 2610563
Period of support: 1 Jul 2026 – 30 Jun 2029
Amount: $299,601
Awardee: University of Miami, Coral Gables, FL
Program: STATISTICS
Directorate: MPS

Abstract

Many critical online decision systems, including clinical support, financial risk management, and autonomous technologies, must look beyond average performance to avoid rare but catastrophic "tail events." Traditional reinforcement learning often summarizes future outcomes as a single expected value, which masks significant risks and uncertainty. This research addresses this limitation by developing distributional…

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