Reinforcement Learning as a Routing Technique for Mobile Multi Agent Systems

Werner Van Belle¹^* - werner@yellowcouch.org, werner.van.belle@gmail.com

1- Programming Technology Lab (PROG); Department of Computer Science (DINF); Vrije Universiteit Brussel (VUB); Pleinlaan 2; 1050 Brussel; Belgium

Abstract: Nowadays, a number of mobile multi agent systems are designed and implemented at a variety of research labs. Most of these systems suffer from a major problem: location transparency. Most systems do not implement this, and the few of them which do are not robust towards changes in the network topology and/or absolutely imperformant in wide area networks. In this paper we present a naming scheme and a location transparent routing algorithm, based upon reinforced Q learning, which is robust and performant.

Keywords: reinforcement learning, packet Routing, mobile Multi Agent Systems
Reference: Werner Van Belle; Reinforcement Learning as a Routing Technique for Mobile Multi Agent Systems; June 1998
Files: RlRouting[WernerVanBelle].pdf, RlRouting[WernerVanBelle].ps.gz

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