Multi-agent deep Q-network for traffic signal control under rainfall: a case study on Sunway city, Malaysia
In most urban areas, traffic congestion is a vexing, complex and growing issue day by day. Reinforcement learning (RL) enables a single decision maker (or an agent) to learn and make optimal actions in an independent manner, while multi-agent reinforcement learning (MARL) enables multiple agents to...
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Format: | Thesis |
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2021
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Online Access: | http://eprints.sunway.edu.my/2400/ |
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