447 citations · 857 across the 37 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
It's a matter of timescale: non-linear utility in successor features and multi-objective planning and learning
Liam P. H. Mertens, Lucas N. Alegre, Florent Delgrange +3
Time is of the essence when dealing with multiple reward signals and non-linear utility. In this paper we argue that the current main approaches in multi-objective RL (SER and ESR)…
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…