· · Upcoming Talks
- INFORMS 2023, Phoenix (10/2023)
Pre-prints and Articles
- Integer Programming Games: A Gentle Computational Overview
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
INFORMS TutORials in Operations Research (2023)
- Learning Rationality in Potential Games
Stefan Clarke, Gabriele Dragotto, Jaime Fernández Fisac, Bartolomeo Stellato
preprint arXiv:2303.11188 (2023)
- The Critical Node Game
Gabriele Dragotto, Amine Boukhtouta, Andrea Lodi, Mehdi Taobane
preprint arXiv:2303.05961 (2023)
- Ericsson Inc. Canada - Internal Meeting (08/2022)
- The ZERO Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming
Gabriele Dragotto, Rosario Scatamacchia
INFORMS Journal on Computing (2023)
- ZERO: Playing Mathematical Programming Games
Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho, Andrea Lodi
preprint arXiv:2111.07932 (2022)
- The Cut and Play Algorithm: Computing Nash Equilibria via Outer Approximations
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi, Sriram Sankaranarayanan
preprint arXiv:2111.05726 (2022)
- When Nash Meets Stackelberg
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo, Andrea Lodi, Sriram Sankaranarayanan
Management Science (2023, Forthcoming)
- On fairness and diversification in WTA and ATP tennis tournaments generation
Federico Della Croce, Gabriele Dragotto, Rosario Scatamacchia
Annals of Operations Research (2020)
- Merging Combinatorial Design and Optimization: the Oberwolfach Problem
Fabio Salassa, Gabriele Dragotto, Tommaso Traetta, Marco Buratti, Federico Della Croce
Australasian Journal of Combinatorics (2019)
Theses
- Mathematical Programming Games
Gabriele Dragotto
Polytechnique Montréal (2022)
- Fair Players Allocation in ATP Tournaments Generation
Gabriele Dragotto
Politecnico di Torino (2018)