7 citations · 9 across the 7 of their papers we have counts for
10 papers
On the Convergence of Iterated Round Robin
Maxime Lucet, Henri Surugue, Nawal Benabbou +3
Round Robin (RR) is a simple and widely used picking sequence mechanism for allocating indivisible goods, known to guarantee envy-freeness up to one item (EF1) when preferences are…
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…
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…
Multilevel Fair Allocation with Matroid-Rank Preferences
Maxime Lucet, Nawal Benabbou, Aurélie Beynier +1
We introduce the concept of multilevel fair allocation of resources with tree-structured hierarchical relations among agents. While at each level it is possible to consider the pro…
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…
Is Limited Information Enough? An Approximate Multi-agent Coverage Control in Non-Convex Discrete Environments
Tatsuya Iwase, Aurélie Beynier, Nicolas Bredeche +2
Conventional distributed approaches to coverage control may suffer from lack of convergence and poor performance, due to the fact that agents have limited information, especially i…