1 citations · 1 across the 6 of their papers we have counts for
6 papers
Leveraging the Value of Information in POMDP Planning
Zakariya Laouar, Qi Heng Ho, Zachary Sunberg
Partially observable Markov decision processes (POMDPs) offer a principled formalism for planning under state and transition uncertainty. Despite advances made towards solving larg…
Leveraging Counterfactual Paths for Contrastive Explanations of POMDP Policies
Benjamin Kraske, Zakariya Laouar, Zachary Sunberg
As humans come to rely on autonomous systems more, ensuring the transparency of such systems is important to their continued adoption. Explainable Artificial Intelligence (XAI) aim…
Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems
Zakariya Laouar, Qi Heng Ho, Rayan Mazouz +2
In this paper, we present a controller framework that synthesizes control policies for Jump Markov Linear Systems subject to stochastic mode switches and imperfect mode estimation.…
Recursively-Constrained Partially Observable Markov Decision Processes
Qi Heng Ho, Tyler Becker, Benjamin Kraske +5
Many sequential decision problems involve optimizing one objective function while imposing constraints on other objectives. Constrained Partially Observable Markov Decision Process…
Human-Centered Autonomy for UAS Target Search
Hunter M. Ray, Zakariya Laouar, Zachary Sunberg +1
Current methods of deploying robots that operate in dynamic, uncertain environments, such as Uncrewed Aerial Systems in search \& rescue missions, require nearly continuous human s…
Investigation of risk-aware MDP and POMDP contingency management autonomy for UAS
Prashin Sharma, Benjamin Kraske, Joseph Kim +3
Unmanned aircraft systems (UAS) are being increasingly adopted for various applications. The risk UAS poses to people and property must be kept to acceptable levels. This paper pro…