1 citations · 2 across the 5 of their papers we have counts for
5 papers
Robustness Analysis of POMDP Policies to Observation Perturbations
Benjamin Kraske, Qi Heng Ho, Federico Rossi +2
Policies for Partially Observable Markov Decision Processes (POMDPs) are often designed using a nominal system model. In practice, this model can deviate from the true system durin…
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…
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…
Explanation through Reward Model Reconciliation using POMDP Tree Search
Benjamin D. Kraske, Anshu Saksena, Anna L. Buczak +1
As artificial intelligence (AI) algorithms are increasingly used in mission-critical applications, promoting user-trust of these systems will be essential to their success. Ensurin…
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…