Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning

Research article (IET Intelligent Transport Systems, 2020) · cited 33× · AI/ML
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Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning

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Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-traffic-signal-control-system-using-composite-reward-architecture-based-deep-reinforcement-learning
MLA “Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-traffic-signal-control-system-using-composite-reward-architecture-based-deep-reinforcement-learning.
BibTeX @misc{4ortxyz_adaptive-traffic-signal-control-system-using-composite-reward-architecture-based-deep-reinforcement-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-traffic-signal-control-system-using-composite-reward-architecture-based-deep-reinforcement-learning}, note = {Accessed: 2026-05-24}}
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