NSF award 2552046 · Massachusetts Institute of Technology
Collaborative Research: RI: Bridging the gap between deep reinforcement learning and imperfect-information games: sound policy gradient methods, search, and testbeds
Final report due
28 November 2030
in 1,502 days · The award ends on 31 July 2030.
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- Decide about an extension2 Apr 2030in 1262 days
award ending 2030-07-31 · Research.gov
- Extension request16 Jun 2030in 1337 days
award ending 2030-07-31 · Research.gov
- No-cost extension notice21 Jul 2030in 1372 days
award ending 2030-07-31 · Research.gov
- Final report due28 Nov 2030in 1502 days
award ending 2030-07-31 · Research.gov
- Project outcomes report due28 Nov 2030in 1502 days
award ending 2030-07-31 · Research.gov
- Award is closed out28 Nov 2030in 1502 days
award ending 2030-07-31 · Research.gov
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- NSF lists this award's end date as 31 July 2030.
- NSF rules say the final report is due no later than 120 days after that.
- So the final report is due by 28 November 2030.
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Award card
- Award number
- 2552046
- Period of support
- 1 Aug 2026 – 31 Jul 2030
- Amount
- $500,000
- Awardee
- Massachusetts Institute of Technology, Cambridge, MA
- Program
- Robust Intelligence
- Directorate
- CSE
Abstract
Imperfect-information games, situations where decision makers must act without full knowledge of what others know, are ubiquitous in the real world. From autonomous driving to markets to strategic negotiations, people and machines must make high-stakes decisions while reasoning about information they cannot see. This setting remains an open challenge for AI techniques. While systems have reached remarkable, often…
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