Decentralized Optimal Control in Large-Scale Mean-Field Systems

Researchers show optimal controllers stay fully decentralized even as agents approach infinity, and the result holds for heterogeneous agents using H₂ and H∞ norms. Read more: getnews.me/decentralized-optimal-co... #decentralizedcontrol #meanfield

Learning Stackelberg Equilibria in Dynamic Markov Games for Energy Markets

Study presents a Stackelberg‑Mean Field model utilities set energy tariffs, cutting system costs and boosting equity for low‑income households. Published 19 Sep 2025. Read more: getnews.me/learning-stackelberg-equ... #stackelberg #meanfield

New Method Targets Vulnerable Agents in Large‑Scale Multi‑Agent Reinforcement Learning

Mean Field Control (HAD‑MFC) solves the NP‑hard task of identifying vulnerable agents in reinforcement learning; experiments show it outperforms baseline methods. getnews.me/new-method-targets-vulne... #marl #meanfield

Sharp Bounds on Permutation Mixtures Enable Better Mean‑Field Analysis

Researchers deliver dimension‑independent bounds on permutation mixtures and dimension‑dependent phase‑transition results for Gaussian and Poisson models. getnews.me/sharp-bounds-on-permutat... #permutationmixtures #meanfield

Data-Driven Approximation of Transfer Operators for Mean-Field SDEs

A data‑driven framework uses EDMD and Galerkin projection to approximate transfer operators for mean‑field SDEs, tested on Cormier and Kuramoto models. getnews.me/data-driven-approximatio... #transferoperators #meanfield