Deep reinforcement learning for addressing disruptions in traffic light control
This paper investigates the use of multi-agent deep Q-network (MADQN) to address the curse of dimensionality issue occurred in the traditional multi-agent reinforcement learning (MARL) approach. The proposed MADQN is applied to traffic light controllers at multiple intersections with busy traffic an...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Tech Science Press
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/33587/ |
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| Institution: | Universiti Malaya |