OptiML PSE
OptiML PSE
Research
Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
Statistical Learning
Large Language Models
Hybrid Modelling
Process Control
Deep Learning in Chemical Engineering
News
People
Publications
Learning Resources
Contact
Nonlinear Optimization
Neural ODEs as Feedback Policies for Nonlinear Optimal Control
Neural ordinary differential equations (Neural ODEs) define continuous time dynamical systems with neural networks. The interest in …
Ilya Orson Sandoval
,
Panagiotis Petsagkourakis
,
Dr. Ehecatl Antonio del Rio Chanona
Cite
DOI
URL
Cite
×