Author

Samuele Vinanzi

h-index 6 View on Semantic Scholar

We have 1 of 24 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback

This work develops LEMUR: Learning to Align with Multi-Objective Reinforcement Learning with Preference feedback, a novel framework where an agent interactively learns from the preferences of multiple humans to learn optimal multi-objective policies.

Manith Adikari, Bei Peng, Samuele Vinanzi et al. · arXiv.org · 0 citations