EfficientZero V2 is a general framework designed for sample-efficient RL algorithms. We have expanded the performance of EfficientZero to multiple domains, encompassing both contin- uous and discrete ...

Abstract: In this article, the data-driven event-triggered control is addressed for unknown discrete-time neural networks (DTNNs) under actuator saturation and external perturbation. The research ...

AI is reshaping brand strategy. As agentic AI scales content marketing, brands must build entertainment fields, creating loyalty and gravity beyond transactions.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI models. Unlike generative diffusion models, the team's Discrete Spatial ...

Abstract: State estimation in the presence of unknown inputs remains a fundamental challenge in control and monitoring applications. Traditional unknown-input observer (UIO) relies on explicit system ...