The analysis of online least squares estimation is at the heart of many stochastic sequential decision-making problems. We employ tools from the self-normalized processes to provi...
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Real-time databases are needed in security-critical applications, e.g., e-commerce, agile manufacturing, and military applications. In these applications, transactions and data it...
Sensor network applications face continuously changing environments, which impose varying processing loads on the sensor node. This paper presents an online control method which a...
Control systems running on a computer are subject to timing disturbances coming from implementation constraints. Fortunately closed-loop systems behave robustly w.r.t. modelling e...