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 spatial graphs with a vast number of nodes, it is difficult to compute a solution to graph optimisation problems. We propose an approach using meta-level agents for multi-agents...
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children’s play. The children, the dynamics of their play, and the playground are mo...
Multi-agent planning is a fundamental problem in multiagent systems that has acquired a variety of meanings in the relative literature. In this paper we focus on a setting where m...