Collaborative Research: RI:Small: Use-Inspired RL for Many-Agent Contexts: Co-opetition, P — NSF Award to University of Georgia Re
Artificial intelligence (AI) is evolving from answering our questions to acting on our behalf. However, we live in a complex world where individuals and groups must both cooperate and compete to achieve their goals, often without clear insight into others' behavior or intentions. For example, in business, teams work to
| Award title | Collaborative Research: RI:Small: Use-Inspired RL for Many-Agent Contexts: Co-opetition, P |
|---|---|
| Award ID | 2530002 |
| Awardee | University of Georgia Research Foundation Inc |
| City | ATHENS |
| State | GA |
| Amount obligated | $299,664 |
| Principal investigator | Prashant Doshi |
| Program | Robust Intelligence |
| Start date | 01/01/2026 |
| Abstract | Artificial intelligence (AI) is evolving from answering our questions to acting on our behalf. However, we live in a complex world where individuals and groups must both cooperate and compete to achieve their goals, often without clear insight into others' behavior or intentions. For example, in business, teams work toward shared objectives while balancing their own priorities and competing for resources, frequently uncertain about how others will act. Similarly, AI agents acting on our behalf m |
| Source | NSF Awards |
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