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math.OC2026
Self-supervised In-context Operator Learning for Stochastic Mean-Field Control
Suyi Gao, Mo Zhou, Rongjie Lai
Stochastic mean-field control (MFC) provides a fundamental framework for coordinating large populations of interacting agents under uncertainty, with a wide range of applications.…
math.OC2025
Self-Supervised Amortized Neural Operators for Optimal Control: Scaling Laws and Applications
Wuzhe Xu, Jiequn Han, Rongjie Lai
Optimal control provides a principled framework for transforming dynamical system models into intelligent decision-making, yet classical computational approaches are often too expe…