Coordination of multi‐agent systems with arbitrary convergence time

Multiagent Coordination with Learning Classifier Systems

COMAS: CoOrdination in MultiAgent Systems

A multiagent system is one in which multiple autonomous agents interact to solve complex tasks. Each agent in a multiagent system has its own set of goals. The central problem addressed in this paper is coordination in multiagent systems. Coordination is a process by which, a system of agents work together harmoniously. The focus of this paper is on two types of coordination, resource coordinat...

Semistability-Based Convergence Analysis for Paracontracting Multiagent Coordination Optimization

Recently we have proposed a new class of swarm optimization algorithms called the Multiagent Coordination Optimization (MCO) [1]–[3] algorithm inspired by swarm intelligence and consensus protocols for multiagent coordination in [4]–[7]. This new algorithm is a new optimization technique based not only on swarm intelligence [8] which simulates the bio-inspired behavior, but also on cooperative ...

Multiagent Coordination in Cooperative Q-learning Systems

Many reinforcement learning architectures fail to learn optimal group behaviors in the multiagent domain. Although these coordination difficulties are often attributed to the non-Markovian environment created by the gradually-changing policies of concurrently learning agents, a careful analysis of the situation reveals an underlying problem structure which can cause suboptimal group policies ev...

Learning and coordination in dynamic multiagent systems