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Follower Agnostic Methods for Stackelberg Games

Follower Agnostic Methods for Stackelberg Games

2 February 2023
C. Maheshwari
James Cheng
S. S. Sasty
Lillian J. Ratliff
Eric Mazumdar
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Papers citing "Follower Agnostic Methods for Stackelberg Games"

6 / 6 papers shown
Title
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing
Anna M. Maddux
Marko Maljkovic
Nikolas Geroliminis
Maryam Kamgarpour
31
0
0
01 Apr 2025
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
Mao Ye
B. Liu
S. Wright
Peter Stone
Qian Liu
72
82
0
19 Sep 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures
  Global Convergence
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu
Jiayang Li
Zhuoran Yang
Hoi-To Wai
Mingyi Hong
Y. Nie
Zhaoran Wang
66
18
0
04 Oct 2021
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
716
0
13 Jun 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
127
406
0
06 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,199
0
16 Aug 2016
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