7 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Fair in the Eyes of Others
Parham Shams, Aurélie Beynier, Sylvain Bouveret +1
Envy-freeness is a widely studied notion in resource allocation, capturing some aspects of fairness. The notion of envy being inherently subjective though, it might be the case tha…
Swap Dynamics in Single-Peaked Housing Markets
Aurélie Beynier, Nicolas Maudet, Simon Rey +1
This paper focuses on the problem of fairly and efficiently allocating resources to agents. We consider a specific setting, usually referred to as a housing market, where each agen…
Efficiency, Sequenceability and Deal-Optimality in Fair Division of Indivisible Goods
Aurélie Beynier, Sylvain Bouveret, Michel Lemaître +2
In fair division of indivisible goods, using sequences of sincere choices (or picking sequences) is a natural way to allocate the objects. The idea is as follows: at each stage, a…