In this work, we propose a multi-objective decision making framework that accommodates different user preferences over objectives, where preferences are learned via policy …
H Shao - arXiv preprint arXiv:2408.01596, 2024 - arxiv.org
Machine learning has witnessed remarkable breakthroughs in recent years. As machine learning permeates various aspects of daily life, individuals and organizations increasingly …
S Alizadeh, A Bhargava… - International …, 2024 - proceedings.mlr.press
Multi-objective optimization is a class of optimization problems with multiple conflicting objectives. We study offline optimization of multi-objective policies from data collected by a …