Large scale distributed real time and embedded (DRE) applications are complex entities that are often composed of different subsystems and have stringent Quality of Service (QoS) r...
Praveen Kaushik Sharma, Joseph P. Loyall, George T...
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
Many users and applications require the integration of semi-structured data from autonomous, heterogeneous Web sources. Over the last years mediator systems have emerged that use d...
— Leveraging research by psychologists on human decision-making, we present a human-robot decision-making problem associated with a complex task and study the corresponding joint...
Ming Cao, Andrew Reed Stewart, Naomi Ehrich Leonar...
The fundamental role of autonomous agents in managing activities of space systems has emerged some years ago with the NASA’s Remote Agent Experiment. However, the possible advant...
Francesco Amigoni, Stefano Gualandi, Daniele Menot...