23 citations · 173 across the 34 of their papers we have counts for
3 papers · 2 filters
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei +6
Autonomous cyber-physical agents and systems play an increasingly large role in our lives. To ensure that agents behave in ways aligned with the values of the societies in which th…
CPMetric: Deep Siamese Networks for Learning Distances Between Structured Preferences
Andrea Loreggia, Nicholas Mattei, Francesca Rossi +1
Preference are central to decision making by both machines and humans. Representing, learning, and reasoning with preferences is an important area of study both within computer sci…
A Cost-Effective Framework for Preference Elicitation and Aggregation
Zhibing Zhao, Haoming Li, Junming Wang +4
We propose a cost-effective framework for preference elicitation and aggregation under the Plackett-Luce model with features. Given a budget, our framework iteratively computes the…