Author

A. Cangelosi

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Preprint Sep 2026

Latent Cluster Analysis for Vision-Language-Action Models

Vision-Language-Action (VLA) Models are increasingly used in robotics for their ability to ground language and perception into action, yet the internal representations driving their behaviour remain poorly understood. We propose LAVLA, a framework for latent cluster analysis of VLA models, and conduct a layer-wise stud...

Theodor Wulff, Sergio Lanza, Tamara Bíla et al. · 0 citations

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