Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic
Mean-Field Games

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Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games

9 September 2020

Muhammad Aneeq uz Zaman

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Papers citing "Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games"

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Title
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang Xu Chen Xuan Di 148 5 0 17 Feb 2025
Scalable and Independent Learning of Nash Equilibrium Policies in $n$ -Player Stochastic Games with Unknown Independent Chains Tiancheng Qin S. Rasoul Etesami 99 2 0 04 Dec 2023
Regularization of the policy updates for stabilizing Mean Field Games Talal Algumaei Rubén Solozabal Réda Alami Hakim Hacid Merouane Debbah Martin Takáč OffRL 79 5 0 04 Apr 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path Muhammad Aneeq uz Zaman Alec Koppel Sujay Bhatt Tamer Basar 66 25 0 24 Aug 2022
Linear Quadratic Mean-Field Games with Communication Constraints Shubham Aggarwal Muhammad Aneeq uz Zaman Tamer Basar 67 4 0 11 Mar 2022
Learning Stationary Nash Equilibrium Policies in $n$ -Player Stochastic Games with Independent Chains S. Rasoul Etesami 129 6 0 28 Jan 2022
Scalable regret for learning to control network-coupled subsystems with unknown dynamics Sagar Sudhakara Aditya Mahajan A. Nayyar Yi Ouyang 66 3 0 18 Aug 2021
Thompson sampling for linear quadratic mean-field teams Mukul Gagrani Sagar Sudhakara Aditya Mahajan A. Nayyar Ouyang Yi 53 4 0 09 Nov 2020
A General Framework for Learning Mean-Field Games Xin Guo Anran Hu Renyuan Xu Junzi Zhang OffRL AI4CE 137 51 0 13 Mar 2020