Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The Rule Responder project (responder.ruleml.org) extends the Semantic Web towards a Pragmatic Web infrastructure for collaborative human-computer networks. These allow semi-autom...
Adrian Paschke, Harold Boley, Alexander Kozlenkov,...
A multiagent architecture for vehicle and structural health monitoring is proposed. A prototype using this architecture was developed using JADE. Critical aspects of the design wer...
Albert C. Esterline, Bhanu Gandluri, Mannur Sundar...
In situations where self-interested agents interact repeatedly, it is important that they are endowed with negotiation techniques that enable them to reach agreements that are pro...
Sarvapali D. Ramchurn, Carles Sierra, Lluis Godo, ...
Abstract. In open and heterogeneous environments offered by the Internet, where agents are designed by different vendors, the development of standards for agent communication nee...