2 papers
cs.AI2026
LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback
Manith Adikari, Bei Peng, Samuele Vinanzi +1
Reinforcement Learning (RL) systems are typically trained using a single, well-specified scalar reward function. However, real-world decision-making tasks often involve multiple, c…
cs.RO2025
Robots and Children that Learn Together : Improving Knowledge Retention by Teaching Peer-Like Interactive Robots
Imene Tarakli, Samuele Vinanzi, Richard Moore +1
Despite growing interest in Learning-by-Teaching (LbT), few studies have explored how this paradigm can be implemented with autonomous, peer-like social robots in real classrooms.…