NSF award 2619180 · Georgia Tech Research Corporation
SHF: Formal Reasoning of Reinforcement Learning Policies
Final report due
29 December 2030
in 1,533 days · The award ends on 31 August 2030.
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Dates this award owes
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- Decide about an extension3 May 2030in 1293 days
award ending 2030-08-31 · Research.gov
- Extension request17 Jul 2030in 1368 days
award ending 2030-08-31 · Research.gov
- No-cost extension notice21 Aug 2030in 1403 days
award ending 2030-08-31 · Research.gov
- Final report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
- Project outcomes report due29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
- Award is closed out29 Dec 2030in 1533 days
award ending 2030-08-31 · Research.gov
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- NSF lists this award's end date as 31 August 2030.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 29 December 2030.
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Award card
- Award number
- 2619180
- Period of support
- 1 Sep 2026 – 31 Aug 2030
- Amount
- $600,000
- Awardee
- Georgia Tech Research Corporation, Atlanta, GA
- Program
- Software & Hardware Foundation
- Directorate
- CSE
Abstract
Artificial intelligence (AI) systems trained through reinforcement learning (RL) are increasingly deployed in safety-critical settings such as self-driving cars, robotic surgery, and autonomous trading, yet these systems operate without any formal guarantees that they will behave correctly. A core problem is that RL systems learn from numerical rewards that can be gamed by the agent in unintended ways — a phenomenon…
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