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

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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,…