2 papers
cs.GT2026
Quantifying Theoretical AI Alignment Guarantees: Receiver-Utility Bounds in Bayesian Persuasion
Eric Yachbes, Eva Tardos
Misalignment can change how information moves from an AI agent to a human user. We model this as an information advantage: the AI agent observes the world state, while the human re…
cs.GT2026
Hierarchies of No-regret Algorithms
R. Xu, E. Yachbes, J. Zhang
Our paper studies the setting of players using no-regret algorithms in various two-player games. We address whether having stronger regret guarantees or playing against an opponent…