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Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions
Research article (IEEE Transactions on Intelligent Transportation Systems, 2024) · cited 19× · AI/ML
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions
Summary
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions is a scholarly article[1].
Key Facts
Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhancing-robustness-of-deep-reinforcement-learning-based-adaptive-traffic-signal-controllers-in-mixed-traffic-environme
MLA“Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhancing-robustness-of-deep-reinforcement-learning-based-adaptive-traffic-signal-controllers-in-mixed-traffic-environme.
BibTeX@misc{4ortxyz_enhancing-robustness-of-deep-reinforcement-learning-based-adaptive-traffic-signal-controllers-in-mixed-traffic-environme_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions}}, year = {2026}, url = {https://4ort.xyz/entity/enhancing-robustness-of-deep-reinforcement-learning-based-adaptive-traffic-signal-controllers-in-mixed-traffic-environme}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhancing Robustness of Deep Reinforcement Learning Based Adaptive Traffic Signal Controllers in Mixed Traffic Environments Through Data Fusion and Multi-Discrete Actions — https://4ort.xyz/entity/enhancing-robustness-of-deep-reinforcement-learning-based-adaptive-traffic-signal-controllers-in-mixed-traffic-environme (retrieved 2026-05-24)
