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Collaborative Research: RI:Small: Use-Inspired RL for Many-Agent Contexts: Co-opetition, Partial Observability, and Dynamic Types

US NSF grant open #nsf-2530002

Summary

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 must navigate this uncertainty, learning when to collaborate and when to pursue their own goals. As a

Collaborative Research: RI:Small: Use-Insp…
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