We describe the interface between a real-time resource allocation system with an AI planner in order to create fault-tolerant plans that are guaranteed to execute in hard real-tim...
Ella M. Atkins, Tarek F. Abdelzaher, Kang G. Shin,...
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Systems using Software Agents (or Multi-Agent Systems, MAS) are becoming more popular within the development mainstream because, as the name suggests, an Agent aims to handle task...
Chia-En Lin, Krishna M. Kavi, Frederick T. Sheldon...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Sensor networks are expected to evolve into long-lived, autonomous networked systems whose main mission is to provide in-situ users ? called actors ? with real-time information in...
Ferruccio Barsi, Alfredo Navarra, Maria Cristina P...