They call it a “world model”, an essential tool to help AI systems make sense of the complex, unpredictable physical spaces into which many will eventually be put to work. The company argues that a ...
Abstract: This article addresses the consensus problem of a class of unknown nonlinear multiagent systems (MASs) under directed graphs via a novel model-free deep reinforcement learning (DRL) based ...
Abstract: In recent years, researchers have proposed the approximation of model predictive control (MPC) using deep neural networks (DNNs). However, a limitation arises as DNNs inherently offer one-to ...
Vibe coding isn’t just prompting. Learn how to manage context windows, troubleshoot smarter, and build an AI Overview ...