This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about info...
Pieter Dijkstra, Floris Bex, Henry Prakken, Kees d...
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
— We consider problems where multiple agents must cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchange...