2 papers
stat.ME2026
Active Learning for Data-Efficient Calibration of Stochastic Simulation Models
Ãzge Sürer
Simulation-based calibration aims to infer unknown parameters of complex simulation models by aligning model outputs with real-world observations. When simulation runs are computat…
cs.LO2026
Explainability Framework for Policy-Aware Autonomous Agents
Heather Merhout, Daniela Inclezan
In the field of Artificial Intelligence, an agent is a system which is able to autonomously make decisions in order to reach a desired goal. As these systems grow more prevalent in…