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20232026
most citedDecoding Mean Field Games from Population and Environment Observations By Gaussian Processes

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cs.LG2025

Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems

Jingguo Zhang, Xianjin Yang, Chenchen Mou +1

Mean field games (MFGs) describe the collective behavior of large populations of interacting agents. In this work, we tackle ill-posed inverse problems in potential MFGs, aiming to…