Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes

17 February 2020

Papers citing "Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes"

6 / 6 papers shown

Title
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games Yang Cai Gabriele Farina Julien Grand-Clément Christian Kroer Chung-Wei Lee Haipeng Luo Weiqiang Zheng 28 1 0 01 Nov 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium Yuma Fujimoto Kaito Ariu Kenshi Abe 28 4 0 02 Feb 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Kenta Toyoshima Atsushi Iwasaki 34 11 0 21 Aug 2022
GDA-AM: On the effectiveness of solving minimax optimization via Anderson Acceleration Huan He Shifan Zhao Yuanzhe Xi Joyce C. Ho Y. Saad 34 1 0 06 Oct 2021
Last-iterate Convergence in Extensive-Form Games Chung-Wei Lee Christian Kroer Haipeng Luo 17 39 0 27 Jun 2021
Linear Last-iterate Convergence in Constrained Saddle-point Optimization Chen-Yu Wei Chung-Wei Lee Mengxiao Zhang Haipeng Luo 19 11 0 16 Jun 2020