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20222026
most citedA Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning

8 citations · 9 across the 4 of their papers we have counts for

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2 papers · 1 filter

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.GT2024

Bounded Rationality Equilibrium Learning in Mean Field Games

Yannick Eich, Christian Fabian, Kai Cui +1

Mean field games (MFGs) tractably model behavior in large agent populations. The literature on learning MFG equilibria typically focuses on finding Nash equilibria (NE), which assu…