Multi-agent reinforcement learning for route guidance system

Nowadays, multi-agent systems are used to create applications in a variety of areas, including economics, management, transportation, telecommunications, etc. Importantly, in many domains, the reinforcement learning agents try to learn a task by directly interacting with its environment. The main ch...

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Bibliographic Details
Main Authors: Arokhlo, Mortaza Zolfpour, Selamat, Ali, Mohd. Hashim, Siti Zaiton, Selamat, Md. Hafiz
Format: Article
Published: Advanced Institute of Convergence Information Technology Research Center 2011
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Online Access:http://eprints.utm.my/id/eprint/29452/
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