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Population-aware Online Mirror Descent for Mean-Field Games by Deep
  Reinforcement Learning

Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning

6 March 2024
Zida Wu
Mathieu Lauriere
Samuel Jia Cong Chua
M. Geist
Olivier Pietquin
Ankur M. Mehta
ArXivPDFHTML

Papers citing "Population-aware Online Mirror Descent for Mean-Field Games by Deep Reinforcement Learning"

6 / 6 papers shown
Title
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity
A. Hussain
D. Leonte
Francesco Belardinelli
Raphael Huser
Dario Paccagnan
47
0
0
13 Mar 2025
Solving Infinite-Player Games with Player-to-Strategy Networks
Solving Infinite-Player Games with Player-to-Strategy Networks
Carlos Martin
T. Sandholm
54
0
0
17 Jan 2025
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
Patrick Benjamin
Alessandro Abate
34
1
0
21 Aug 2024
Networked Communication for Decentralised Agents in Mean-Field Games
Networked Communication for Decentralised Agents in Mean-Field Games
Patrick Benjamin
Alessandro Abate
FedML
40
2
0
05 Jun 2023
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
89
35
0
20 Sep 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep
  Reinforcement Learning
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
Kai Cui
Heinz Koeppl
64
91
0
02 Feb 2021
1