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
Disaster prevention and management is a complicated task that often involves a tremendous volume of heterogeneous data from various resources. With its dynamic and distributed nat...
Rapid, yet methodical, systems of systems integration is in high demand. Application areas such as homeland security and disaster response add to the challenge because of a unique...
MIDAS is a model-driven methodology for Web Information Systems development based on the OMG's Model Driven Architecture. It proposes to use UML to describe different views o...
Abstract. The OMG’s Model-Driven Architecture focusses on the evolution and integration of applications across heterogeneous middleware platforms. Presently available instances o...