Jul 22, 2020 · In this paper, we propose mean-field game inverse-problem models to reconstruct the ground metrics and interaction kernels in the running costs.
May 20, 2022 · This paper proposes mean-field game inverse-problem models to reconstruct the ground metrics and interaction kernels in the running costs.
In this paper, we propose mean-field game inverse-problem models to reconstruct the ground metrics and interaction kernels in the running costs. The ...
Inverse Problems in Mean Field Games ... In this thesis, we propose a new class of inverse problems to recover Lagrangians in MeanField Games from boundary data.
This paper proposes mean-field game inverse-problem models to reconstruct the ground metrics and interaction kernels in the running costs.
This paper proposes mean-field game inverse-problem models to reconstruct the ground metrics and interaction kernels in the running costs. The observations are ...
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Sep 10, 2024 · We propose a policy iteration method to solve an inverse problem for a mean-field game (MFG) model, specifically to reconstruct the obstacle function in the ...
The theory of mean field games (MFGs) studies the limiting behaviors of large systems where the agents interact with each other in a certain symmetric way.
Abstract: In this talk, we consider a novel inverse problem in mean-field games (MFG). We aim to recover the MFG model parameters that govern the underlying ...
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Jun 22, 2023 · The theory of mean field games (MFGs) studies the limiting behaviors of large systems where the agents interact with each other in a certain ...