Scalable and Independent Learning of Nash Equilibrium Policies in
$n$-Player Stochastic Games with Unknown Independent Chains

Scalable and Independent Learning of Nash Equilibrium Policies in $n$ -Player Stochastic Games with Unknown Independent Chains

4 December 2023

S. Rasoul Etesami

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Papers citing "Scalable and Independent Learning of Nash Equilibrium Policies in $n$-Player Stochastic Games with Unknown Independent Chains"

12 / 12 papers shown

Title
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 61 28 0 27 Jul 2021
Decentralized Q-Learning in Zero-sum Markov Games M. O. Sayin Kai Zhang David S. Leslie Tamer Basar Asuman Ozdaglar 55 83 0 04 Jun 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 73 123 0 03 Jun 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 217 162 0 11 Jan 2021
Fictitious play in zero-sum stochastic games M. O. Sayin F. Parise Asuman Ozdaglar 22 48 0 08 Oct 2020
Efficiently Solving MDPs with Stochastic Mirror Descent Yujia Jin Aaron Sidford 54 71 0 28 Aug 2020
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition Chi Jin Tiancheng Jin Haipeng Luo S. Sra Tiancheng Yu 75 105 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 196 1,218 0 24 Nov 2019
Learning Parametric Closed-Loop Policies for Markov Potential Games Sergio Valcarcel Macua Javier Zazo S. Zazo 64 46 0 03 Feb 2018
Primal-Dual $π$ Learning: Sample Complexity and Sublinear Run Time for Ergodic Markov Decision Problems Mengdi Wang 147 70 0 17 Oct 2017
Learning in games with continuous action sets and unknown payoff functions P. Mertikopoulos Zhengyuan Zhou 59 266 0 25 Aug 2016
Explore no more: Improved high-probability regret bounds for non-stochastic bandits Gergely Neu 389 185 0 10 Jun 2015