activity
20242026
collaborators

8 papers

math.OC2026

Finite-Sample Metric Non-Collapse for Geometrically Supervised Latent World Models in Control

Alain Bensoussan, Minh-Nhat Phung, Minh-Binh Tran

We establish a finite-sample learning-to-control theory for geometrically supervised latent models of nonlinear deterministic systems. Geometric supervision is used only during tra…

math.NA2026

Neural-Spectral and Newton-HUM Methods for Reconstructing Controls of Wave Equations

Tan-Phuc Nguyen, Minh-Binh Tran, Son Tu

We develop a framework for constructing and rigorously validating controls for semilinear wave equations with localized interior control. We analyze the continuous energy-space pro…

math.OC2026

Computational Control of Nonlinear Partial Differential Equations Using Machine Learning

Maximilian Kurbanov, Minh-Nhat Phung, Minh-Binh Tran

The numerical reconstruction of controls for nonlinear partial differential equations (PDEs) remains a challenging and relatively underdeveloped problem, despite the extensive lite…

math.OC2026

Operator Splitting, Policy Iteration, and Machine Learning for Stochastic Optimal Control

Alain Bensoussan, Thien P. B. Nguyen, Minh-Binh Tran +1

We propose a splitting approach to solve the second-order Hamilton--Jacobi equation, reducing it to a heat step and a purely first-order step. The latter is implemented using a gra…

cs.LG2025

A Relative Ignorability Framework for Decision-Relevant Observability in Control Theory and Reinforcement Learning

MaryLena Bleile, Minh-Nhat Phung, Minh-Binh Tran

Sequential decision-making systems routinely operate with missing or incomplete data. Classical reinforcement learning theory, which is commonly used to solve sequential decision p…

math.NA2025

Regularized Unbalanced Optimal Transport with Pearson Marginal Penalties

Minh-Nhat Phung, Minh-Binh Tran

We study quadratically regularized unbalanced optimal transport with Pearson marginal penalties and a lower bound on the plan, including the sparse case . We organize…

math.OC2024

Internal Control of The Transition Kernel for Stochastic Lattice Dynamics

Amirali Hannani, Minh-Nhat Phung, Minh-Binh Tran +1

In [5], we have designed impulsive and feedback controls for harmonic chains with a point thermostat. In this work, we study the internal control for stochastic lattice dynamics, w…

math.OC2024

Controlling the Rates of a Chain of Harmonic Oscillators with a Point Langevin Thermostat

Amirali Hannani, Minh-Binh Tran, Minh Nhat Phung +1

We consider the control problem of controlling the rates of an infinite chain of coupled harmonic oscillators with a Langevin thermostat at the origin. We study the effect of two t…