4 papers
Automata Learning of Preferences over Temporal Logic Formulas from Pairwise Comparisons
Hazhar Rahmani, Jie Fu
Many preference elicitation algorithms consider preference over propositional logic formulas or items with different attributes. In sequential decision making, a user's preference…
Optimal sensor deception in stochastic environments with partial observability to mislead a robot to a decoy goal
Hazhar Rahmani, Mukulika Ghosh, Syed Md Hasnayeen
Deception is a common strategy adapted by autonomous systems in adversarial settings. Existing deception methods primarily focus on increasing opacity or misdirecting agents away f…
Optimal Sensor Deception to Deviate from an Allowed Itinerary
Hazhar Rahmani, Arash Ahadi, Jie Fu
In this work, we study a class of deception planning problems in which an agent aims to alter a security monitoring system's sensor readings so as to disguise its adversarial itine…
Preference-Based Planning in Stochastic Environments: From Partially-Ordered Temporal Goals to Most Preferred Policies
Hazhar Rahmani, Abhishek N. Kulkarni, Jie Fu
Human preferences are not always represented via complete linear orders: It is natural to employ partially-ordered preferences for expressing incomparable outcomes. In this work, w…