In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
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...
This paper presents an approach for multi-robot coordination based both on coordinated navigation and task allocation method. An ad hoc agent based architecture is defined in order...
Alberto Grosso, Davide Anghinolfi, Antonio Boccala...
This paper presents a novel approach to design and develop an assembly and execution shell for multiagent applications based on the concept of a mission. A mission is a live evolv...
Glenn T. Jayaputera, Arkady B. Zaslavsky, Seng Wai...
This work evaluates task allocation strategies based on bin-packing algorithms in the context of multiprocessor systems-on-chip (MPSoCs) with task migration capabilities, running ...