A survey on multiagent reinforcement learning towards multi-robot systems

Tools

Yang, Erfu and Gu, Dongbing; (2005) A survey on multiagent reinforcement learning towards multi-robot systems. In: IEEE 2005 Symposium on Computational Intelligence and Games, CIG'05. IEEE, GBR, pp. 292-299.

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Abstract

Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theoretical research and practical applications, currently there have been a lot of efforts towards providing some solutions to this challenge. However, there are still many difficulties in scaling up multiagent reinforcement learning to multi-robot systems. The main objective of this paper is to provide a survey on multiagent reinforcement learning in multi-robot systems, based on the literature the authors collected. After reviewing some important advances in this field, some challenging problems are analyzed. A concluding remark is made from the perspectives of the authors.

ORCID iDs

Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950 and Gu, Dongbing;
CORE (COnnecting REpositories)