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20212026
most citedLax-Oleinik-type formulas and efficient algorithms for certain high-dimensional optimal control problems

4 citations · 14 across the 8 of their papers we have counts for

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math.OC2026

PI-SONet: A Physics-Informed Symplectic Operator Network for Real-Time Optimal Control of Multi-Agent Systems

Alan John Varghese, Shanqing Liu, Paula Chen +3

Many real-life applications involve controlling high-dimensional multi-agent systems in real-time. Existing optimal control solvers often suffer from the curse-of-dimensionality an…

math.OC2026

Algorithms and Differential Game Representations for Exploring Nonconvex Pareto Fronts in High Dimensions

Shanqing Liu, Paula Chen, Youngkyu Lee +1

We develop a new Hamiton-Jacobi (HJ) and differential game approach for exploring the Pareto front of (constrained) multi-objective optimization (MOO) problems. Given a preference…

math.OC2025★ 2 cited

A Model-Free Data-Driven Algorithm for Continuous-Time Control

Sean R. Bowerfind, Matthew R. Kirchner, Gary A. Hewer +4

Presented is an algorithm to synthesize an infinite-horizon LQR optimal feedback controller for continuous-time systems. The algorithm does not require knowledge of the system dyna…

math.OC2021

Hopf-type representation formulas and efficient algorithms for certain high-dimensional optimal control problems

Paula Chen, Jérôme Darbon, Tingwei Meng

Two key challenges in optimal control include efficiently solving high-dimensional problems and handling optimal control problems with state-dependent running costs. In this paper,…

math.OC2021★ 4 cited

Lax-Oleinik-type formulas and efficient algorithms for certain high-dimensional optimal control problems

Paula Chen, Jérôme Darbon, Tingwei Meng

Two of the main challenges in optimal control are solving problems with state-dependent running costs and developing efficient numerical solvers that are computationally tractable…