From the 1 of 8 linked papers with an AI index.
1 citations · 1 across the 2 of their papers we have counts for
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Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks
Mario Sperl, Luca Saluzzi, Dante Kalise +1
The use of separable approximations is proposed to mitigate the curse of dimensionality related to the approximation of high-dimensional value functions in optimal control. The sep…
Separable approximations of optimal value functions under a decaying sensitivity assumption
Mario Sperl, Luca Saluzzi, Lars Grüne +1
An efficient approach for the construction of separable approximations of optimal value functions from interconnected optimal control problems is presented. The approach is based o…
State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards' Equation framework
Alessandro Alla, Marco Berardi, Luca Saluzzi
We present an approach for the optimization of irrigation in a Richards' equation framework. We introduce a proper cost functional, aimed at minimizing the amount of water provided…