This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
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
Nowadays, workflow research has shifted from fundamentals of workflow modelling and enactment towards improvement of the workflow modelling lifecycle and integration of workflow en...
In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be use...
Ambient intelligence envisages a world saturated with sensors and other embedded computing technologies, operating transparently, and accessible to all in a seamless and intuitive ...
Conor Muldoon, Gregory M. P. O'Hare, Michael J. O'...