Abstract: This 1 paper 2 solves an enhanced adaptive dynamic programming (ADP)-based collision-free enclosing learning control for Unmanned Aerial Vehicles (UAVs) to ...

Official implementation of Stochastic NODE--DMD-- Probabilistic modeling of DMD supporting sparse observation and uncertainty quantification. by Yujin Kim and Sarah Dean † Stochastic NODE–DMD is a ...

Abstract: In stochastic manufacturing environments, disruptions such as machine breakdowns, variable processing times, and unexpected delays make static scheduling approaches ineffective. To address ...

In this tutorial, we build an advanced, end-to-end learning pipeline around Atomic-Agents by wiring together typed agent interfaces, structured prompting, and a compact retrieval layer that grounds ...