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On the Rate of Convergence of Payoff-based Algorithms to Nash
  Equilibrium in Strongly Monotone Games

On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games

22 February 2022
T. Tatarenko
Maryam Kamgarpour
ArXivPDFHTML

Papers citing "On the Rate of Convergence of Payoff-based Algorithms to Nash Equilibrium in Strongly Monotone Games"

2 / 2 papers shown
Title
Decentralized and Uncoordinated Learning of Stable Matchings: A
  Game-Theoretic Approach
Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach
S. Rasoul Etesami
R. Srikant
26
1
0
31 Jul 2024
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games
  with Bandit Feedback
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
Yang Cai
Haipeng Luo
Chen-Yu Wei
Weiqiang Zheng
34
18
0
05 Mar 2023
1