94 citations · 168 across the 4 of their papers we have counts for
4 papers · 1 filter
Near-optimal control of dynamical systems with neural ordinary differential equations
Lucas Böttcher, Thomas Asikis
Optimal control problems naturally arise in many scientific applications where one wishes to steer a dynamical system from a certain initial state to a desired targe…
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
Lucas Böttcher, Thomas Asikis, Ioannis Fragkos
A key challenge in inventory management is to identify policies that optimally replenish inventory from multiple suppliers. To solve such optimization problems, inventory managers…
Implicit energy regularization of neural ordinary-differential-equation control
Lucas Böttcher, Nino Antulov-Fantulin, Thomas Asikis
Although optimal control problems of dynamical systems can be formulated within the framework of variational calculus, their solution for complex systems is often analytically and…
Neural Ordinary Differential Equation Control of Dynamics on Graphs
Thomas Asikis, Lucas Böttcher, Nino Antulov-Fantulin
We study the ability of neural networks to calculate feedback control signals that steer trajectories of continuous time non-linear dynamical systems on graphs, which we represent…