An illustration of our round-by-round optimization process

Generating social networks with static and dynamic utility-maximization approaches

This paper offers a novel theoretical framework at the interface of physics and economics to understand and generate social networks.

November 2024 · Aldric Labarthe, Yann Kerzreho
Our RL-algorithm design

Strategies and equilibria on selected markets: a multi-agent simulation and stochastic modeling approach

In this paper, we introduce the first agent-based model of competition in quantities featuring a Deep Deterministic Policy Gradient (DDPG) algorithm and assess its effect on both equilibrium stability and collusive outcome.

May 2024 · Aldric Labarthe