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20212026
most citedApproximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning

12 citations · 30 across the 23 of their papers we have counts for

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cs.GT2026

Approximately Solving Continuous-Time Mean Field Games with Finite State Spaces

Yannick Eich, Christian Fabian, Kai Cui +1

Mean field games (MFGs) offer a powerful framework for modeling large-scale multi-agent systems. This paper addresses MFGs formulated in continuous time with discrete state spaces,…

cs.MA2026

Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions

Tobias Schmidt, Kai Cui

Mean-field control (MFC) offers a scalable solution to the curse of dimensionality in multi-agent systems but traditionally hinges on the restrictive assumption of exchangeability…