Collina

2 accepted papers

2026

Bandit Social Leaning Dynamics with Exploration Episodes

Kiarash Banihashem, Collina, Alex Slivkins

ICML 2026poster

We study a stylized social learning dynamics where self-interested agents collectively follow a simple multi-armed bandit protocol. Each agent controls an "episode": a short sequence of consecutive decisions. Motivating applications include users repeatedly interacting with an AI, or repeatedly shop…

Cited by 0 Source ↗Scholar ↗

2026

Emergent Alignment via Competition

Collina, Surbhi Goel, Aaron Roth, Emily Ryu, Mirah Shi

ICML 2026poster

Aligning AI systems with human values remains a fundamental challenge, but does our inability to create perfectly aligned models preclude obtaining the benefits of alignment? We study a strategic setting where a human user interacts with multiple differently misaligned AI agents, none of which are i…

Cited by 0 Source ↗Scholar ↗