Distributed Coordination Guidance in Multi-agent Reinforcement Learning

Abstract

In this paper we present a distributed reinforcement learning system that leverages on expert coordination knowledge to improve learning in multi-agent problems. We focus on the scenario where agents can communicate with their neighbors but this communication structure and the number of agents may change over time. We express coordination knowledge as… (More)
DOI: 10.1109/ICTAI.2011.75

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