Multi-item, multi-unit negotiations in industrial procurement pose serious challenges to buying agents when trying to determine the best set of providering agents’ offers. Typic...
This paper presents a multi-agent reinforcement learning bidding approach (MARLBS) for performing multi-agent reinforcement learning. MARLBS integrates reinforcement learning, bid...
The design of a an agent system for robotics is a problem that involves aspects coming from many different disciplines (robotics, artificial intelligence, computer vision, softwa...
Massimo Cossentino, Luca Sabatucci, Antonio Chella
A prerequisite of joining an enterprise system is the ability to cope with the rigorous demands experienced within such systems. One of the most fundamental of these demands is th...
In grid computing, agent-based load balancing is one of the most important problems. In this paper, we present a macroscopic model to describe the dynamics of agent-based load bal...