Deep reinforcement learning for traffic signal control with consistent state and reward design approach

Research article (Knowledge-Based Systems, 2023) · cited 107× · AI/ML
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Deep reinforcement learning for traffic signal control with consistent state and reward design approach

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Deep reinforcement learning for traffic signal control with consistent state and reward design approach is a scholarly article[1].

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  • Deep reinforcement learning for traffic signal control with consistent state and reward design approach's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep reinforcement learning for traffic signal control with consistent state and reward design approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-for-traffic-signal-control-with-consistent-state-and-reward-design-approach
MLA “Deep reinforcement learning for traffic signal control with consistent state and reward design approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-for-traffic-signal-control-with-consistent-state-and-reward-design-approach.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-for-traffic-signal-control-with-consistent-state-and-reward-design-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep reinforcement learning for traffic signal control with consistent state and reward design approach}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-for-traffic-signal-control-with-consistent-state-and-reward-design-approach}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep reinforcement learning for traffic signal control with consistent state and reward design approach — https://4ort.xyz/entity/deep-reinforcement-learning-for-traffic-signal-control-with-consistent-state-and-reward-design-approach (retrieved 2026-05-24)

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