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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Main Authors: | Arokhlo, Mortaza Zolfpour, Selamat, Ali, Mohd. Hashim, Siti Zaiton, Selamat, Md. Hafiz |
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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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