activity
20182026
most citedEntropy Maximization for Markov Decision Processes Under Temporal Logic Constraints

28 citations · 67 across the 22 of their papers we have counts for

collaborators

26 papers

cs.CL2026

Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions

Jan Sobotka, Mustafa O. Karabag, Ufuk Topcu

Large language models (LLMs) are increasingly tasked with strategic decision-making under incomplete information, such as in negotiation and policymaking. While LLMs can excel at m…

cs.LG2025

Deceptive Exploration in Multi-armed Bandits

I. Arda Vurankaya, Mustafa O. Karabag, Wesley A. Suttle +3

We consider a multi-armed bandit setting in which each arm has a public and a private reward distribution. An observer expects an agent to follow Thompson Sampling according to the…

cs.GT2025

Deceptive Planning Exploiting Inattention Blindness

Mustafa O. Karabag, Jesse Milzman, Ufuk Topcu

We study decision-making with rational inattention in settings where agents have perception constraints. In such settings, inaccurate prior beliefs or models of others may lead to…

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…

cs.LG2025

Monotonic Transformation Invariant Multi-task Learning

Surya Murthy, Kushagra Gupta, Mustafa O. Karabag +2

Multi-task learning (MTL) algorithms typically rely on schemes that combine different task losses or their gradients through weighted averaging. These methods aim to find Pareto st…

cs.GT2025

Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles

Kushagra Gupta, Surya Murthy, Mustafa O. Karabag +2

Cooperative bargaining games are widely used to model resource allocation and conflict resolution. Traditional solutions assume the mediator can access agents utility function valu…