NSF award 2546185 · Villanova University
Collaborative Research: FMitF: Track I: Specification-Guided Multiagent Reinforcement Learning
Final report due
30 March 2030
in 1,259 days · The award ends on 30 November 2029.
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- Decide about an extension2 Aug 2029in 1019 days
award ending 2029-11-30 · Research.gov
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- No-cost extension notice20 Nov 2029in 1129 days
award ending 2029-11-30 · Research.gov
- Final report due30 Mar 2030in 1259 days
award ending 2029-11-30 · Research.gov
- Project outcomes report due30 Mar 2030in 1259 days
award ending 2029-11-30 · Research.gov
- Award is closed out30 Mar 2030in 1259 days
award ending 2029-11-30 · Research.gov
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- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 30 March 2030.
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Award card
- Award number
- 2546185
- Period of support
- 1 Oct 2025 – 30 Nov 2029
- Amount
- $450,000
- Awardee
- Villanova University, Villanova, PA
- Program
- FMitF: Formal Methods in the F
- Directorate
- CSE
Abstract
Multi-agent systems (MAS) are pervasive with applications in various areas such as computer networks, robotics, and power grids. For example, multi-robot systems play a critical role in our society, including industrial robots in car assembly lines, hundreds of drones in a light show, and many vehicles in future autonomous ride-sharing services. Sequential decision-making is crucial to construct functional,…
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