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Regret Minimization and Convergence to Equilibria in General-sum Markov
  Games

Regret Minimization and Convergence to Equilibria in General-sum Markov Games

28 July 2022
Liad Erez
Tal Lancewicki
Uri Sherman
Tomer Koren
Yishay Mansour
ArXivPDFHTML

Papers citing "Regret Minimization and Convergence to Equilibria in General-sum Markov Games"

7 / 7 papers shown
Title
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Incentivize without Bonus: Provably Efficient Model-based Online Multi-agent RL for Markov Games
Tong Yang
Bo Dai
Lin Xiao
Yuejie Chi
OffRL
56
2
0
13 Feb 2025
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Game Theory and Multi-Agent Reinforcement Learning : From Nash Equilibria to Evolutionary Dynamics
Neil De La Fuente
Miquel Noguer i Alonso
Guim Casadellà
26
0
0
31 Dec 2024
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions
Chanwoo Park
K. Zhang
Asuman Ozdaglar
21
8
0
13 Jul 2023
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum
  Markov Games
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Shicong Cen
Yuejie Chi
S. Du
Lin Xiao
41
35
0
03 Oct 2022
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in
  Two-Player Zero-Sum Markov Games
O(T−1)O(T^{-1})O(T−1) Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
Yuepeng Yang
Cong Ma
33
14
0
26 Sep 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov
  Games
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
Yulai Zhao
Yuandong Tian
Jason D. Lee
S. Du
OffRL
39
18
0
17 Feb 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
57
158
0
11 Jan 2021
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