3 papers
cs.LG2026
Hierarchical Support Vector State Partitioning for Distilling Black Box Reinforcement Learning Policies
Senne Deproost, Mehrdad Asadi, Ann Nowé
We introduce State Vector Space Partitioning (SVSP), a novel method to mimic a black box reinforcement learning policy using a set of human-interpretable subpolicies. By partitioni…
cs.AI2026
Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning
Paolo Speziali, Arno De Greef, Mehrdad Asadi +3
We propose the Preference Guided Iterated Pareto Referent Optimisation (PG-IPRO) for urban route planning for people with different accessibility requirements and preferences. With…
cs.AI2025
Explainable AI Based Diagnosis of Poisoning Attacks in Evolutionary Swarms
Mehrdad Asadi, Roxana RÄdulescu, Ann Nowé
Swarming systems, such as for example multi-drone networks, excel at cooperative tasks like monitoring, surveillance, or disaster assistance in critical environments, where autonom…