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Decentralized Policy Gradient for Nash Equilibria Learning of
  General-sum Stochastic Games

Decentralized Policy Gradient for Nash Equilibria Learning of General-sum Stochastic Games

14 October 2022
Yan Chen
Taoying Li
ArXivPDFHTML

Papers citing "Decentralized Policy Gradient for Nash Equilibria Learning of General-sum Stochastic Games"

5 / 5 papers shown
Title
Global Convergence of Multi-Agent Policy Gradient in Markov Potential
  Games
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Stefanos Leonardos
W. Overman
Ioannis Panageas
Georgios Piliouras
41
118
0
03 Jun 2021
Gradient play in stochastic games: stationary points, convergence, and
  sample complexity
Gradient play in stochastic games: stationary points, convergence, and sample complexity
Runyu Zhang
Zhaolin Ren
Na Li
57
43
0
01 Jun 2021
Independent Policy Gradient Methods for Competitive Reinforcement
  Learning
Independent Policy Gradient Methods for Competitive Reinforcement Learning
C. Daskalakis
Dylan J. Foster
Noah Golowich
114
161
0
11 Jan 2021
On the convergence of single-call stochastic extra-gradient methods
On the convergence of single-call stochastic extra-gradient methods
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
33
169
0
22 Aug 2019
On the Theory of Policy Gradient Methods: Optimality, Approximation, and
  Distribution Shift
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
Alekh Agarwal
Sham Kakade
Jason D. Lee
G. Mahajan
27
320
0
01 Aug 2019
1