activity
20172020
most citedOptimal incentives to mitigate epidemics: a Stackelberg mean field game approach

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

math.OC2020★ 2 cited

Optimal incentives to mitigate epidemics: a Stackelberg mean field game approach

Alexander Aurell, Rene Carmona, Gokce Dayanikli +1

Motivated by models of epidemic control in large populations, we consider a Stackelberg mean field game model between a principal and a mean field of agents evolving on a finite st…

econ.TH2020

Stochastic Stability of a Recency Weighted Sampling Dynamic

Alexander Aurell, Gustav Karreskog

We introduce and study a model of long-run convention formation for rare interactions. Players in this model form beliefs by observing a recency-weighted sample of past interaction…

math.OC2019

Behavior near walls in the mean-field approach to crowd dynamics

Alexander Aurell, Boualem Djehiche

This paper introduces a system of stochastic differential equations (SDE) of mean-field type that models pedestrian motion. The system lets the pedestrians spend time at, and move…

math.OC2018

Modeling tagged pedestrian motion: a mean-field type game approach

Alexander Aurell, Boualem Djehiche

This paper suggests a model for the motion of tagged pedestrians: pedestrians moving towards a specified targeted destination, which they are forced to reach. It aims to be a decis…

math.OC2017

Mean-field type modeling of nonlocal crowd aversion in pedestrian crowd dynamics

Alexander Aurell, Boualem Djehiche

We extend the class of pedestrian crowd models introduced by Lachapelle and Wolfram (2011) to allow for nonlocal crowd aversion and arbitrarily but finitely many interacting crowds…