Traffic control strategy for adaptive signal controller based on reinforcement learning and local communication channel
This research study is in the field of deep reinforcement learning (DRL) adaptive controllers. The developed DRL controller is an off-policy, model-free agent based on the Q-learning algorithm. The research aims to address several issues found in the existing DRL work direction. Issues related to th...
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| Format: | Final Year Project / Dissertation / Thesis |
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2023
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| Online Access: | http://eprints.utar.edu.my/6239/ http://eprints.utar.edu.my/6239/1/MUAID_ABDULKAREEM_ALNAZIR_AHMED.pdf |