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Last-Iterate Convergence with Full and Noisy Feedback in Two-Player
  Zero-Sum Games

Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games

21 August 2022
Kenshi Abe
Kaito Ariu
Mitsuki Sakamoto
Kenta Toyoshima
Atsushi Iwasaki
ArXivPDFHTML

Papers citing "Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games"

6 / 6 papers shown
Title
Corrupted Learning Dynamics in Games
Corrupted Learning Dynamics in Games
Taira Tsuchiya
Shinji Ito
Haipeng Luo
66
0
0
10 Dec 2024
Last Iterate Convergence in Monotone Mean Field Games
Last Iterate Convergence in Monotone Mean Field Games
Noboru Isobe
Kenshi Abe
Kaito Ariu
27
0
0
07 Oct 2024
Decentralized Online Learning in General-Sum Stackelberg Games
Decentralized Online Learning in General-Sum Stackelberg Games
Yaolong Yu
Haipeng Chen
22
0
0
06 May 2024
Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games
Nash Equilibrium and Learning Dynamics in Three-Player Matching mmm-Action Games
Yuma Fujimoto
Kaito Ariu
Kenshi Abe
11
1
0
16 Feb 2024
Adaptively Perturbed Mirror Descent for Learning in Games
Adaptively Perturbed Mirror Descent for Learning in Games
Kenshi Abe
Kaito Ariu
Mitsuki Sakamoto
Atsushi Iwasaki
11
0
0
26 May 2023
Survival of the strictest: Stable and unstable equilibria under
  regularized learning with partial information
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information
Angeliki Giannou
Emmanouil-Vasileios Vlatakis-Gkaragkounis
P. Mertikopoulos
23
35
0
12 Jan 2021
1