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Gradient Methods for Solving Stackelberg Games
v1v2v3 (latest)

Gradient Methods for Solving Stackelberg Games

Algorithmic Decision Theory (ADT), 2019
19 August 2019
Roi Naveiro
D. Insua
ArXiv (abs)PDFHTML

Papers citing "Gradient Methods for Solving Stackelberg Games"

4 / 4 papers shown
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in
  Autonomous Driving
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
Zhi Zheng
Shangding Gu
209
16
0
28 May 2024
The limits of min-max optimization algorithms: convergence to spurious
  non-critical sets
The limits of min-max optimization algorithms: convergence to spurious non-critical sets
Ya-Ping Hsieh
P. Mertikopoulos
Volkan Cevher
373
93
0
16 Jun 2020
Adversarial Machine Learning: Bayesian Perspectives
Adversarial Machine Learning: Bayesian PerspectivesJournal of the American Statistical Association (JASA), 2020
D. Insua
Roi Naveiro
Víctor Gallego
Jason Poulos
AAML
195
34
0
07 Mar 2020
Augmented Probability Simulation Methods for Sequential Games
Augmented Probability Simulation Methods for Sequential GamesEuropean Journal of Operational Research (EJOR), 2019
Tahir Ekin
Roi Naveiro
Alberto Torres-Barrán
D. Insua
134
12
0
10 Oct 2019
1
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