153 citations · 427 across the 46 of their papers we have counts for
6 papers · 1 filter
Game Plan: What AI can do for Football, and What Football can do for AI
Karl Tuyls, Shayegan Omidshafiei, Paul Muller +33
The rapid progress in artificial intelligence (AI) and machine learning has opened unprecedented analytics possibilities in various team and individual sports, including baseball,…
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin, Julien Perolat, Mathieu Laurière +3
In this paper, we deepen the analysis of continuous time Fictitious Play learning algorithm to the consideration of various finite state Mean Field Game settings (finite horizon, $…
COVID-19 pandemic control: balancing detection policy and lockdown intervention under ICU sustainability
Arthur Charpentier, Romuald Elie, Mathieu Laurière +1
We consider here an extended SIR model, including several features of the recent COVID-19 outbreak: in particular the infected and recovered individuals can either be detected (+)…
Contact rate epidemic control of COVID-19: an equilibrium view
Romuald Elie, Emma Hubert, Gabriel Turinici
We consider the control of the COVID-19 pandemic through a standard SIR compartmental model. This control is induced by the aggregation of individuals' decisions to limit their soc…
Reinforcement Learning in Economics and Finance
Arthur Charpentier, Romuald Elie, Carl Remlinger
Reinforcement learning algorithms describe how an agent can learn an optimal action policy in a sequential decision process, through repeated experience. In a given environment, th…
Large Banking Systems with Default and Recovery: A Mean Field Game Model
Romuald Élie, Tomoyuki Ichiba, Mathieu Laurière
We consider a mean-field model for large banking systems, which takes into account default and recovery of the institutions. Building on models used for groups of interacting neuro…