activity
20242026
collaborators

6 papers

cs.MA2026

Characterizing Opinion Evolution of Networked LLMs

Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3

Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…

cs.MA2026

When Should Agents Coordinate in Differentiable Sequential Decision Problems?

Caleb Probine, Su Ann Low, David Fridovich-Keil +1

Multi-robot teams must coordinate to operate effectively. When a team operates in an uncoordinated manner, and agents choose actions that are only individually optimal, the team's…

cs.GT2025

Privacy-preserving Nash Equilibrium Synthesis with Partially Ordered Temporal Objectives

Caleb Probine, Abhishek Kulkarni, Ufuk Topcu

Nash equilibrium is a central solution concept for reasoning about self-interested agents. We address the problem of synthesizing Nash equilibria in two-player deterministic games…

cs.AI2025

Multi-Environment POMDPs: Discrete Model Uncertainty Under Partial Observability

Eline M. Bovy, Caleb Probine, Marnix Suilen +2

Multi-environment POMDPs (ME-POMDPs) extend standard POMDPs with discrete model uncertainty. ME-POMDPs represent a finite set of POMDPs that share the same state, action, and obser…

cs.GT2025

Designing Inferable Signaling Schemes for Bayesian Persuasion

Caleb Probine, Mustafa O. Karabag, Ufuk Topcu

In Bayesian persuasion, an informed sender, who observes a state, commits to a randomized signaling scheme that guides a self-interested receiver's actions. Classical models assume…

math.OC2024

A Decentralized Shotgun Approach for Team Deception

Caleb Probine, Mustafa O. Karabag, Ufuk Topcu

Deception is helpful for agents masking their intentions from an observer. We consider a team of agents deceiving their supervisor. The supervisor defines nominal behavior for the…