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Deep Learning for Principal-Agent Mean Field Games

Deep Learning for Principal-Agent Mean Field Games

3 October 2021
S. Campbell
Yichao Chen
Arvind Shrivats
S. Jaimungal
ArXivPDFHTML

Papers citing "Deep Learning for Principal-Agent Mean Field Games"

4 / 4 papers shown
Title
Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets
Multi-Agent Reinforcement Learning for Greenhouse Gas Offset Credit Markets
Liam Welsh
Udit Grover
Sebastian Jaimungal
18
0
0
15 Apr 2025
Learning Macroeconomic Policies based on Microfoundations: A Dynamic
  Stackelberg Mean Field Game Approach
Learning Macroeconomic Policies based on Microfoundations: A Dynamic Stackelberg Mean Field Game Approach
Qirui Mi
Zhiyu Zhao
Siyu Xia
Yan Song
Jun Wang
Haifeng Zhang
48
1
0
14 Mar 2024
Designing Universal Causal Deep Learning Models: The Geometric
  (Hyper)Transformer
Designing Universal Causal Deep Learning Models: The Geometric (Hyper)Transformer
Beatrice Acciaio
Anastasis Kratsios
G. Pammer
OOD
54
20
0
31 Jan 2022
Reinforcement Learning with Dynamic Convex Risk Measures
Reinforcement Learning with Dynamic Convex Risk Measures
Anthony Coache
S. Jaimungal
34
27
0
26 Dec 2021
1