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Solving Min-Max Optimization with Hidden Structure via Gradient Descent
  Ascent

Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent

13 January 2021
Lampros Flokas
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Georgios Piliouras
    MLT
ArXivPDFHTML

Papers citing "Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent"

4 / 4 papers shown
Title
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case
  Ranking Approximation for Min--Max Optimization and its Application to
  Berthing Control Tasks
Covariance Matrix Adaptation Evolutionary Strategy with Worst-Case Ranking Approximation for Min--Max Optimization and its Application to Berthing Control Tasks
Atsuhiro Miyagi
Yoshiki Miyauchi
A. Maki
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
75
2
0
28 Mar 2023
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning
  Algorithms
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
Liyuan Zheng
Tanner Fiez
Zane Alumbaugh
Benjamin J. Chasnov
Lillian J. Ratliff
OffRL
32
38
0
25 Sep 2021
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
V. Cevher
35
81
0
16 Jun 2020
First-order Methods Almost Always Avoid Saddle Points
First-order Methods Almost Always Avoid Saddle Points
J. Lee
Ioannis Panageas
Georgios Piliouras
Max Simchowitz
Michael I. Jordan
Benjamin Recht
ODL
95
82
0
20 Oct 2017
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