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20152026
most citedHallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art

37 citations · 151 across the 85 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

eess.SY2018★ 3 cited

Robust Myopic Control for Systems with Imperfect Observations

Dantong Ge, Melkior Ornik, Ufuk Topcu

Control of systems operating in unexplored environments is challenging due to lack of complete model knowledge. Additionally, under measurement noises, data collected from onboard…

cs.LO2018★ 1 cited

Information-Guided Temporal Logic Inference with Prior Knowledge

Zhe Xu, Melkior Ornik, A. Agung Julius +1

This paper investigates the problem of inferring knowledge from data so that the inferred knowledge is interpretable and informative to humans who have prior knowledge. Given a dat…

math.OC2018

Least Inferable Policies for Markov Decision Processes

Mustafa O. Karabag, Melkior Ornik, Ufuk Topcu

In a variety of applications, an agent's success depends on the knowledge that an adversarial observer has or can gather about the agent's decisions. It is therefore desirable for…

math.OC2018

Graph-Based Controller Synthesis for Safety-Constrained, Resilient Systems

Matija Bucic, Melkior Ornik, Ufuk Topcu

Resilience to damage, component degradation, and adversarial action is a critical consideration in design of autonomous systems. In addition to designing strategies that seek to pr…

math.OC2018★ 28 cited

Entropy Maximization for Markov Decision Processes Under Temporal Logic Constraints

Yagiz Savas, Melkior Ornik, Murat Cubuktepe +2

We study the problem of synthesizing a policy that maximizes the entropy of a Markov decision process (MDP) subject to a temporal logic constraint. Such a policy minimizes the pred…

math.OC2018

Deception in Optimal Control

Melkior Ornik, Ufuk Topcu

In this paper, we consider an adversarial scenario where one agent seeks to achieve an objective and its adversary seeks to learn the agent's intentions and prevent the agent from…