Imitation learning teaches AI agents by example: show the agent recordings of how people perform a task and let it infer what to do. The most common approach, Behavior Cloning (BC), frames this as a ...

Abstract: This paper investigates dynamic event-triggered resilient formation control for nonlinear multi-agent systems under multi-channel Denial-of-Service (DoS) attacks. Unlike existing resilient ...

Google rolled out a brand new experimental AI tool last Thursday called Project Genie. By Friday, video game stocks were tumbling as a result. Gaming industry giants like Unity Software, Roblox, ...

Abstract: This article introduces a novel approach that combines a multimodel technique with model-free adaptive control (MFAC) to address the limitations of the full-form dynamic linearization (FFDL) ...

This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...

Business leaders are facing a new reality. AI and agents are transforming traditional systems of record into systems of action, becoming applications that not only store data but use it to drive ...

A storm rolling into the Gulf of Mexico. The Gulf of Mexico, a regional ocean, is hugged by the southeastern United States and a large stretch of the Mexican coast, making it very important for both ...

Optimizing the operation of interconnected hydropower systems presents significant challenges due to complex non-linear dynamics, hydrological uncertainty, and the need to balance competing objectives ...

Atlas, the humanoid robot famous for its parkour and dance routines, has recently begun demonstrating something altogether more subtle but also a lot more significant: It has learned to both walk and ...