During the last few years, and in an attempt to provide an ecient alternative to classical methods to designing robot control structures, the behavior-based approach has emerged....
Abstract-- Multi-agent system is a rapidly developing research area with strong support from both civilian and military applications. One of the essential problems in multi-agent s...
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
This paper focuses on the challenge of building technical agents that act flexibly in modern computing and information environments. Flexibility is approached in terms of both cogn...
We consider a multi-agent optimization problem where agents aim to cooperatively minimize a sum of local objective functions subject to a global inequality constraint and a global ...