ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.07498
  4. Cited By
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic
  Mean-Field Games

Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games

16 October 2019
Zuyue Fu
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
ArXivPDFHTML

Papers citing "Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games"

13 / 13 papers shown
Title
MF-OML: Online Mean-Field Reinforcement Learning with Occupation
  Measures for Large Population Games
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games
Anran Hu
Junzi Zhang
38
5
0
01 May 2024
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
46
2
0
05 Jun 2023
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with
  Multi-Agent Reinforcement Learning
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning
Shijie Han
Siyuan Li
Bo An
Wei Zhao
P. Liu
35
0
0
24 Oct 2022
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
Kaipeng Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
87
27
0
10 Oct 2022
MF-OMO: An Optimization Formulation of Mean-Field Games
MF-OMO: An Optimization Formulation of Mean-Field Games
Xin Guo
Anran Hu
Junzi Zhang
50
14
0
20 Jun 2022
Generalization in Mean Field Games by Learning Master Policies
Generalization in Mean Field Games by Learning Master Policies
Sarah Perrin
Mathieu Laurière
Julien Pérolat
Romuald Élie
M. Geist
Olivier Pietquin
AI4CE
94
35
0
20 Sep 2021
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning
Barna Pásztor
Ilija Bogunovic
Andreas Krause
28
41
0
08 Jul 2021
Sample Efficient Reinforcement Learning with REINFORCE
Sample Efficient Reinforcement Learning with REINFORCE
Junzi Zhang
Jongho Kim
Brendan O'Donoghue
Stephen P. Boyd
42
101
0
22 Oct 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy
Zuyue Fu
Zhuoran Yang
Zhaoran Wang
21
42
0
02 Aug 2020
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic
  Mean-Field Games
Approximate Equilibrium Computation for Discrete-Time Linear-Quadratic Mean-Field Games
Muhammad Aneeq uz Zaman
Kaipeng Zhang
Erik Miehling
Tamer Basar
18
16
0
30 Mar 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence
  and Complexity Analysis
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis
Haotian Gu
Xin Guo
Xiaoli Wei
Renyuan Xu
32
65
0
10 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and
  Algorithms
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaipeng Zhang
Zhuoran Yang
Tamer Basar
63
1,184
0
24 Nov 2019
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and
  Mean-Field Q-Learning
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning
René Carmona
Mathieu Laurière
Zongjun Tan
OffRL
31
97
0
28 Oct 2019
1