3 papers
cs.GT2026
Multilevel Fair Allocation under Additive Preferences
Maxime Lucet, Nawal Benabbou, Aurélie Beynier +1
We study multilevel fair resource allocation with tree-structured hierarchical relations among agents. At each level, the problem can be viewed locally as allocating an agent's bun…
cs.LG2026
Policy Gradient Steering: Interventions from Behavioral Objectives
Yoann Poupart, Aurélie Beynier, Nicolas Maudet
Activation steering has emerged in large language models as a lightweight alternative for dynamically changing a model's behavior at inference time. However, we show that existing…
cs.AI2025
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning
Yoann Poupart, Aurélie Beynier, Nicolas Maudet
Multi-Agent Deep Reinforcement Learning (MADRL) was proven efficient in solving complex problems in robotics or games, yet most of the trained models are hard to interpret. While l…