Convexity and strict convexity for compositional neural networks in high-dimensional optimal control
Fuente:
arXiv
Saved in:
| Main Authors: | Grüne, Lars, Kleinberg, Konrad, Kruse, Thomas, Sperl, Mario |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks
by: Sperl, Mario, et al.
Published: (2025)
by: Sperl, Mario, et al.
Published: (2025)
An adaptive adjoint-oriented neural network for solving parametric optimal control problems with singularities
by: Yuan, Zikang, et al.
Published: (2025)
by: Yuan, Zikang, et al.
Published: (2025)
Analysis and approximation to parabolic optimal control problems with measure-valued controls in time
by: Gong, Wei, et al.
Published: (2024)
by: Gong, Wei, et al.
Published: (2024)
Variational conditional normalizing flows for computing second-order mean field control problems
by: Zhao, Jiaxi, et al.
Published: (2025)
by: Zhao, Jiaxi, et al.
Published: (2025)
Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems
by: Nurkanović, Armin, et al.
Published: (2022)
by: Nurkanović, Armin, et al.
Published: (2022)
The Pontryagin Maximum Principle for Training Convolutional Neural Networks
by: Hofmann, Sebastian, et al.
Published: (2025)
by: Hofmann, Sebastian, et al.
Published: (2025)
Representation results and error estimates for differential games with applications using neural networks
by: Bokanowski, Olivier, et al.
Published: (2024)
by: Bokanowski, Olivier, et al.
Published: (2024)
Deep neural networks can provably solve Bellman equations for Markov decision processes without the curse of dimensionality
by: Jentzen, Arnulf, et al.
Published: (2025)
by: Jentzen, Arnulf, et al.
Published: (2025)
Optimization problems constrained by parameter sums
by: Nash, John C., et al.
Published: (2025)
by: Nash, John C., et al.
Published: (2025)
Path planning for autonomous vehicles with minimal collision severity
by: Wang, Qiannan, et al.
Published: (2024)
by: Wang, Qiannan, et al.
Published: (2024)
A quantum approach for optimal control
by: Sandesara, Hirmay, et al.
Published: (2024)
by: Sandesara, Hirmay, et al.
Published: (2024)
Input design for the optimal control of networked moments
by: Solimine, Philip, et al.
Published: (2021)
by: Solimine, Philip, et al.
Published: (2021)
A Tikhonov theorem for McKean-Vlasov two-scale systems and a new application to mean field optimal control problems
by: Burzoni, Matteo, et al.
Published: (2022)
by: Burzoni, Matteo, et al.
Published: (2022)
Physics-Informed Neural Networks for Optimal Vaccination Plan in SIR Epidemic Models
by: Kim, Minseok, et al.
Published: (2025)
by: Kim, Minseok, et al.
Published: (2025)
Efficient kernel surrogates for neural network-based regression
by: Qadeer, Saad, et al.
Published: (2023)
by: Qadeer, Saad, et al.
Published: (2023)
A Single-Loop Bilevel Deep Learning Method for Optimal Control of Obstacle Problems
by: Song, Yongcun, et al.
Published: (2026)
by: Song, Yongcun, et al.
Published: (2026)
Input Convex Kolmogorov Arnold Networks
by: Deschatre, Thomas, et al.
Published: (2025)
by: Deschatre, Thomas, et al.
Published: (2025)
Adversarial Physics-Informed Machine Learning for Robust Optimal Safe Predefined-Time Stabilization: A Game-Theoretic Approach
by: Kokolakis, Nick-Marios T., et al.
Published: (2025)
by: Kokolakis, Nick-Marios T., et al.
Published: (2025)
Sub-Riemannian Landmark Matching and its interpretation as residual neural networks
by: Jansson, Erik, et al.
Published: (2022)
by: Jansson, Erik, et al.
Published: (2022)
On the Identification and Optimization of Nonsmooth Superposition Operators in Semilinear Elliptic PDEs
by: Christof, Constantin, et al.
Published: (2023)
by: Christof, Constantin, et al.
Published: (2023)
Approximation of Solution Operators for High-dimensional PDEs
by: Gaby, Nathan, et al.
Published: (2024)
by: Gaby, Nathan, et al.
Published: (2024)
Globally convergent homotopies for discrete-time optimal control
by: Esterhuizen, Willem, et al.
Published: (2023)
by: Esterhuizen, Willem, et al.
Published: (2023)
Monge-Kantorovich interpolation with constraints and application to a parking problem
by: Buttazzo, Giuseppe, et al.
Published: (2022)
by: Buttazzo, Giuseppe, et al.
Published: (2022)
A First Step Towards Mesh-Free Probabilistic Shape Optimization
by: Schmidt, Stephan, et al.
Published: (2026)
by: Schmidt, Stephan, et al.
Published: (2026)
Implicit Regularization of Large Neural Networks via Mean-Field Formulation
by: Acciaio, Beatrice, et al.
Published: (2026)
by: Acciaio, Beatrice, et al.
Published: (2026)
Quantitative Convergence of Wasserstein Gradient Flows of Kernel Mean Discrepancies
by: Chizat, Lénaïc, et al.
Published: (2026)
by: Chizat, Lénaïc, et al.
Published: (2026)
Enhancing Future Prediction of Linear and Nonlinear Reduced-Order Models for Transport-Dominated Problems Using Lagrangian Data
by: Li, Meng, et al.
Published: (2026)
by: Li, Meng, et al.
Published: (2026)
An Operator Learning Approach to Nonsmooth Optimal Control of Nonlinear PDEs
by: Song, Yongcun, et al.
Published: (2024)
by: Song, Yongcun, et al.
Published: (2024)
Decaying Sensitivity of the Zero Solution for a Class of Nonlinear Optimal Control Problems
by: Grüne, Lars, et al.
Published: (2026)
by: Grüne, Lars, et al.
Published: (2026)
Variational formulations of ODE-Net as a mean-field optimal control problem and existence results
by: Isobe, Noboru, et al.
Published: (2023)
by: Isobe, Noboru, et al.
Published: (2023)
Finite-difference least square methods for solving Hamilton-Jacobi equations using neural networks
by: Esteve-Yagüe, Carlos, et al.
Published: (2024)
by: Esteve-Yagüe, Carlos, et al.
Published: (2024)
An exit contract optimization problem
by: He, Xihao, et al.
Published: (2021)
by: He, Xihao, et al.
Published: (2021)
Initialization-driven neural generation and training for high-dimensional optimal control and first-order mean field games
by: Assouli, Mouhcine, et al.
Published: (2025)
by: Assouli, Mouhcine, et al.
Published: (2025)
Stabilization of strictly pre-dissipative nonlinear receding horizon control by terminal costs
by: Grüne, Lars, et al.
Published: (2024)
by: Grüne, Lars, et al.
Published: (2024)
Explicit neural network classifiers for non-separable data
by: Ewald, Patrícia Muñoz
Published: (2025)
by: Ewald, Patrícia Muñoz
Published: (2025)
Modified Patankar Semi-Lagrangian Scheme for the Optimal Control of Production-Destruction systems
by: Cacace, Simone, et al.
Published: (2025)
by: Cacace, Simone, et al.
Published: (2025)
Fixed-Point Neural Optimal Transport without Implicit Differentiation
by: Park, Yesom, et al.
Published: (2026)
by: Park, Yesom, et al.
Published: (2026)
Resolving gradient pathology in physics-informed epidemiological models
by: Golooba, Nickson, et al.
Published: (2026)
by: Golooba, Nickson, et al.
Published: (2026)
Stabilized neural Hamilton--Jacobi--Bellman solvers: Error analysis and applications in model-based reinforcement learning
by: Kim, Minseok, et al.
Published: (2026)
by: Kim, Minseok, et al.
Published: (2026)
Alternating Methods for Large-Scale AC Optimal Power Flow with Unit Commitment
by: Brun, Matthew, et al.
Published: (2025)
by: Brun, Matthew, et al.
Published: (2025)
Similar Items
-
Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks
by: Sperl, Mario, et al.
Published: (2025) -
An adaptive adjoint-oriented neural network for solving parametric optimal control problems with singularities
by: Yuan, Zikang, et al.
Published: (2025) -
Analysis and approximation to parabolic optimal control problems with measure-valued controls in time
by: Gong, Wei, et al.
Published: (2024) -
Variational conditional normalizing flows for computing second-order mean field control problems
by: Zhao, Jiaxi, et al.
Published: (2025) -
Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems
by: Nurkanović, Armin, et al.
Published: (2022)