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Jérôme Darbon

8 papers hereh-index 25 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • math.OC5
  • math.NA2
  • stat.ML1
same name
  • Jérôme Darbon — 7 papers, h 4
  • Jérôme Darbon — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2026 · math.OCShow all

4 papers · 2 filters

math.OC2026

A Transformer-based Approach for Real-time Multi-agent Path Planning with Varying Initial/Final Conditions

Qian Zhang, Shanqing Liu, Jerome Darbon +1

We address the problem of real-time multi-agent path planning under prescribed initial and final configurations, formulated as a high-dimensional optimal control problem subject to…

math.OC2026

Continuous-time analysis and algorithms for linear and convex quadratic programs via exactly solvable differential inclusions

Gabriel P. Langlois, Akwum Onwunta, Jérôme Darbon

Linear and convex quadratic programs are fundamental problems in optimization. While many methods have been developed for solving these programs in large-scale applications, to our…

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

PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods

Zhen Zhang, Shanqing Liu, Alessandro Alla +2

We study physics-informed neural networks (PINNs) as numerical tools for the optimal control of semilinear partial differential equations. We first recall the classical direct and…

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