The path from block-based programming to vibe coding represents a shift from mastering the mechanics of implementation to ...

Abstract: Model-based dual heuristic dynamic programming (MB-DHP) is a popular approach in approximating optimal solutions in control problems. Yet, it usually requires offline training for the model ...

Abstract: This article is devoted to data-driven event-triggered adaptive dynamic programming (ADP) control for nonlinear systems under input saturation. A global optimal data-driven control law is ...

schedula is a dynamic flow-based programming environment for python, that handles automatically the control flow of the program. The control flow generally is represented by a Directed Acyclic Graph ...

Dynamic Programming (DP) is a powerful optimization technique used in computer science and mathematics to solve problems that can be broken down into smaller overlapping subproblems. It is ...

STreeD is a framework for optimal binary decision trees with separable optimization tasks. A separable optimization task is a task that can be optimized separately for the left and right subtree. The ...

The European Space Agency’s WorldCereal project enables high-resolution global-scale mapping of crop types and irrigation at low cost. Its continuation beyond the showcase year 2021 is needed to ...

We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...

Programming dosage should be calibrated to risk, with higher-risk prisoners receiving longer, more intensive interventions. As program participation increases, recidivism generally decreases.