Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games

Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$ -Action Games

16 February 2024

Papers citing "Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games"

10 / 10 papers shown

Title
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games Yuma Fujimoto Kaito Ariu Kenshi Abe 54 2 0 23 May 2023
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium Yuma Fujimoto Kaito Ariu Kenshi Abe 56 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 55 12 0 21 Aug 2022
Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games Kenshi Abe Mitsuki Sakamoto Atsushi Iwasaki 52 18 0 18 Jun 2022
Suphx: Mastering Mahjong with Deep Reinforcement Learning Junjie Li Sotetsu Koyamada Qiwei Ye Guoqing Liu Chao Wang Ruihan Yang Li Zhao Tao Qin Tie-Yan Liu H. Hon 54 125 0 30 Mar 2020
No Press Diplomacy: Modeling Multi-Agent Gameplay Philip Paquette Yuchen Lu Steven Bocco Max O. Smith Satya Ortiz-Gagné Jonathan K. Kummerfeld Satinder Singh Joelle Pineau Aaron Courville 60 59 0 04 Sep 2019
Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System James P. Bailey Georgios Piliouras 55 40 0 05 Mar 2019
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization C. Daskalakis Ioannis Panageas 67 178 0 11 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P. Mertikopoulos Bruno Lecouat Houssam Zenati Chuan-Sheng Foo V. Chandrasekhar Georgios Piliouras 130 295 0 07 Jul 2018
Cycles in adversarial regularized learning P. Mertikopoulos Christos H. Papadimitriou Georgios Piliouras 58 321 0 08 Sep 2017

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