AF: Small: Towards Theoretical Foundations of Multi-agent Learning - Algorithms, Dynamics — NSF Award to University of California-
This research project explores fundamental principles underlying how groups of intelligent decision-makers—called "agents"—interact and learn within shared environments. Understanding these interactions is increasingly important because they directly impact critical areas such as autonomous driving, economics, evolutio
| Award title | AF: Small: Towards Theoretical Foundations of Multi-agent Learning - Algorithms, Dynamics |
|---|---|
| Award ID | 2454115 |
| Awardee | University of California-Irvine |
| City | IRVINE |
| State | CA |
| Amount obligated | $398,990 |
| Principal investigator | Ioannis Panageas |
| Program | Algorithmic Foundations |
| Start date | 08/01/2025 |
| Abstract | This research project explores fundamental principles underlying how groups of intelligent decision-makers—called "agents"—interact and learn within shared environments. Understanding these interactions is increasingly important because they directly impact critical areas such as autonomous driving, economics, evolutionary biology, robotics, artificial intelligence safety, and strategic decision-making. By developing theoretical insights and efficient learning algorithms, the project aims to det |
| Source | NSF Awards |
$799/mo
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