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Learning Decentralized Partially Observable Mean Field Control for
  Artificial Collective Behavior
v1v2 (latest)

Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior

12 July 2023
Kai Cui
Sascha H. Hauck
Christian Fabian
Heinz Koeppl
ArXiv (abs)PDFHTML

Papers citing "Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior"

3 / 3 papers shown
Title
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Learning to Stop: Deep Learning for Mean Field Optimal Stopping
Lorenzo Magnino
Yuchen Zhu
Mathieu Laurière
AI4CE
56
1
0
11 Oct 2024
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field
  Control/Game in Continuous Time
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
Weichen Wang
Jiequn Han
Zhuoran Yang
Zhaoran Wang
92
29
0
16 Aug 2020
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
Linear-Quadratic Mean-Field Reinforcement Learning: Convergence of Policy Gradient Methods
René Carmona
Mathieu Laurière
Zongjun Tan
104
63
0
09 Oct 2019
1