Integer programming games: a gentle computational overview

M Carvalho, G Dragotto, A Lodi… - … the Frontiers of OR …, 2023 - pubsonline.informs.org
In this tutorial, we present a computational overview on computing Nash equilibria in integer
programming games (IPGs), that is, how to compute solutions for a class of noncooperative …

Auto-Encoding Bayesian Inverse Games

X Liu, L Peters, J Alonso-Mora, U Topcu… - arxiv preprint arxiv …, 2024 - arxiv.org
When multiple agents interact in a common environment, each agent's actions impact others'
future decisions, and noncooperative dynamic games naturally capture this coupling. In …

An active learning method for solving competitive multi-agent decision-making and control problems

F Fabiani, A Bemporad - IEEE Transactions on Automatic …, 2024 - ieeexplore.ieee.org
To identify a stationary action profile for a population of competitive agents, each executing
private strategies, we introduce a novel active-learning scheme where a centralized external …

50 years of behavioral models for transportation and logistics

LM Ricard, M Bierlaire - 2024 - infoscience.epfl.ch
Fifty years ago, transportation and logistics problems were primarily analyzed either from a
supply-side or a demand-side perspective, with the fields of operations research and …

[PDF][PDF] Learning the Follower's Objective Function in Sequential Bilevel Games

I Molan, M Schmidt, J Thürauf - Book of abstracts PGMO …, 2023 - optimization-online.org
We consider bilevel optimization problems in which the leader has no or only partial
knowledge about the objective function of the follower. The studied setting is a sequential …