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Gabriele Dragotto — most-cited papers & profile · Reinforcement Learning
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Gabriele Dragotto
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Most-cited papers
When Nash Meets Stackelberg
2019
The Cut-and-Play Algorithm: Computing Nash Equilibria via Outer Approximations
2021
The ZERO Regrets Algorithm: Optimizing over Pure Nash Equilibria via Integer Programming
2021
Integer Programming Games: A Gentle Computational Overview
2023
Differentiable Cutting-plane Layers for Mixed-integer Linear Optimization
2023
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
2024
Top co-authors
Andrea Lodi
· 3
Margarida Carvalho
· 3
Sriram Sankaranarayanan
· 3
Bartolomeo Stellato
· 2
Felipe Feijoo
· 1
Haimin Hu
· 1
Jaime Fern\'andez Fisac
· 1
Jaime F. Fisac
· 1
Kaiqu Liang
· 1
Rosario Scatamacchia
· 1
Stefan Clarke
· 1
Zixu Zhang
· 1
Topics
math.OC
cs.GT
Game AI
Multi-Agent
stat.ML
cs.RO
cs.AI
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