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

Adapting to the addressee is crucial for successful explanations, yet poses significant challenges for dialog systems. We adopted the approach of treating explanation generation as a non-stationary ...

Abstract: In this article, we focus on solving the optimal control problem for stochastic game systems while considering multiple constraints. Initially, applying the asymmetric time-varying mapping ...

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 ...