2 papers
cs.LG2026
Optimizing Resource-Constrained Non-Pharmaceutical Interventions for Multi-Cluster Outbreak Control Using Hierarchical Reinforcement Learning
Xueqiao Peng, Andrew Perrault
Non-pharmaceutical interventions (NPIs), such as diagnostic testing and quarantine, are crucial for controlling infectious disease outbreaks but are often constrained by limited re…
cs.LG2024
Cultivating Archipelago of Forests: Evolving Robust Decision Trees through Island Coevolution
Adam Żychowski, Andrew Perrault, Jacek Mańdziuk
Decision trees are widely used in machine learning due to their simplicity and interpretability, but they often lack robustness to adversarial attacks and data perturbations. The p…