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"

5 / 5 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 21 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 26 11 0 21 Aug 2022
Last-iterate Convergence in Extensive-Form Games Chung-Wei Lee Christian Kroer Haipeng Luo 13 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