107 citations · 475 across the 51 of their papers we have counts for
3 papers · 2 filters
Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs
Anastasia Borovykh, Dante Kalise, Alexis Laignelet +1
A deep learning approach for the approximation of the Hamilton-Jacobi-Bellman partial differential equation (HJB PDE) associated to the Nonlinear Quadratic Regulator (NLQR) problem…
Supervised learning for kinetic consensus control
Giacomo Albi, Sara Bicego, Dante Kalise
In this paper, how to successfully and efficiently condition a target population of agents towards consensus is discussed. To overcome the curse of dimensionality, the mean field f…
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control
Sergey Dolgov, Dante Kalise, Luca Saluzzi
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal feedback stabilization is presented. The proposed method is based on the constr…