NSF award 2552047 · New York University

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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So the final report is due by 28 November 2030.

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Award card

Award number: 2552047
Period of support: 1 Aug 2026 – 31 Jul 2030
Amount: $500,000
Awardee: New York University, NEW York, NY
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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