A bisection-based adaptive algorithm converges to a mean field equilibrium for scalar-interaction dynamic games, and a model-free Q-learning variant learns it from simulation.
A similar regenerative framework for arrivals and departures is discussed in other MFE models (e.g., Iyer et al
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.TH 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Computing and Learning Stationary Mean Field Equilibria with Scalar Interactions: Algorithms and Applications
A bisection-based adaptive algorithm converges to a mean field equilibrium for scalar-interaction dynamic games, and a model-free Q-learning variant learns it from simulation.