Showing 2025Show all
2 papers · 1 filter
cs.GT2025
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…
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…