Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control | Paper Citation Record

Observation 8245ebf7-c046-41a4-8ba3-8cf1dfa99b98 · outbound

This paper cites A review of sustainable transportation solutions: Innovations, challenges, and future directions,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control A review of sustainable transportation solutions: Innovations, challenges, and future directions,

Reference 1

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This paper cites Urban travel time and residential location choice: The impacts of traffic congestion,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Urban travel time and residential location choice: The impacts of traffic congestion,

Reference 2

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This paper cites Changes in traffic congestion and air pollution due to major roadway infrastructure improvements in texas,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Changes in traffic congestion and air pollution due to major roadway infrastructure improvements in texas,

Reference 3

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This paper cites Traffic management system and traffic light control in smart city to reduce traffic congestion,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Traffic management system and traffic light control in smart city to reduce traffic congestion,

Reference 4

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This paper cites Troubleshooting so- lution for traffic congestion control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Troubleshooting so- lution for traffic congestion control,

Reference 5

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Observation b92b54b7-02a6-40b0-9241-44a540f4e3f4 · outbound

This paper cites What is the root cause of congestion in urban traffic networks: Road infrastructure or signal control?.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control What is the root cause of congestion in urban traffic networks: Road infrastructure or signal control?

Reference 6

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This paper cites Deep reinforcement learning for intelligent transportation systems: A survey,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Deep reinforcement learning for intelligent transportation systems: A survey,

Reference 7

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Observation 77f06d79-39d9-4b5d-86bc-f23ab83ee3d1 · outbound

This paper cites Reinforcement learning in urban network traffic signal control: A systematic literature review,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Reinforcement learning in urban network traffic signal control: A systematic literature review,

Reference 8

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Observation 9a265a40-f572-4a7f-9204-0d9a00710a70 · outbound

This paper cites Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implemen- tation,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implemen- tation,

Reference 9

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This paper cites Redefining counterfactual explanations for reinforcement learning: Overview, challenges and opportunities,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Redefining counterfactual explanations for reinforcement learning: Overview, challenges and opportunities,

Reference 10

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Challenges and opportunities in deep reinforcement learning with graph neural networks: A comprehensive review of algorithms and applications,

Reference 11

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This paper cites Multi-agent broad reinforcement learning for intelligent traffic light control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Multi-agent broad reinforcement learning for intelligent traffic light control,

Reference 13

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Reinforcement learning on graphs: A survey,

Reference 14

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control New challenges in reinforcement learning: a survey of security and privacy,

Reference 15

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Chal- lenges, evaluation and opportunities for open-world learning,

Reference 16

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This paper cites Reinforcement learning- assisted evolutionary algorithm: A survey and research opportunities,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Reinforcement learning- assisted evolutionary algorithm: A survey and research opportunities,

Reference 17

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This paper cites Reinforcement learning algorithms: A brief survey,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Reinforcement learning algorithms: A brief survey,

Reference 18

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Observation d2f04292-6cf2-4a9f-916a-de7f345b4ff1 · outbound

This paper cites Integrated real-time signal control and routing optimization: A two-stage rolling horizon framework with decentralized solution,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Integrated real-time signal control and routing optimization: A two-stage rolling horizon framework with decentralized solution,

Reference 19

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Observation 74726f19-2fb1-4d61-99a7-a775142bbb60 · outbound

This paper cites Cooperative traffic signal control using a distributed agent-based deep reinforcement learning with incentive communication,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Cooperative traffic signal control using a distributed agent-based deep reinforcement learning with incentive communication,

Reference 20

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Observation 0b463e59-c491-40b5-a694-70bda0a047e9 · outbound

This paper cites A large-scale traffic signal control algorithm based on multi-layer graph deep reinforcement learning,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control A large-scale traffic signal control algorithm based on multi-layer graph deep reinforcement learning,

Reference 22

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Observation 89f1f091-d74b-4018-b94c-42cac6e7cd13 · outbound

This paper cites Prompt to transfer: Sim-to-real transfer for traffic signal control with prompt learning,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Prompt to transfer: Sim-to-real transfer for traffic signal control with prompt learning,

Reference 23

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Observation 8b97497d-ccdb-445c-8640-456f27e5f22c · outbound

This paper cites A survey on deep reinforcement learning approaches for traffic signal control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control A survey on deep reinforcement learning approaches for traffic signal control,

Reference 24

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Observation f5a8e4f6-f3c0-4c88-bfd0-9c34974cf6b9 · outbound

This paper cites Large-scale traffic signal control using a novel multiagent reinforcement learning,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Large-scale traffic signal control using a novel multiagent reinforcement learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.116051Z

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Observation 83e89dd8-5614-40cd-88cb-c82ed530a203 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Distilling the Knowledge in a Neural Network

Reference 26

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This paper cites Differential advising in multiagent reinforcement learning,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Differential advising in multiagent reinforcement learning,

Reference 27

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Observation f91c3270-bc43-414b-ad4c-d0b455ec7e31 · outbound

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Location-based real-time updated advising method for traffic signal control,

Reference 28

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Observation ec10fdc0-a8b3-4ced-98d4-a5a7df3fa860 · outbound

This paper cites Mastering arterial traffic signal control with multi-agent attention-based soft actor-critic model,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Mastering arterial traffic signal control with multi-agent attention-based soft actor-critic model,

Reference 29

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Observation c586926c-fffc-4820-b8f2-942ad95da38d · outbound

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Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Multi-agent attention double actor-critic framework for intelligent traffic light control in urban scenarios with hybrid traffic,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.068776Z

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Observation a5c10dd6-2a09-407c-aa7c-a37b3fab2271 · outbound

This paper cites Cooperative traffic signal control through a counterfactual multi-agent deep actor critic approach,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Cooperative traffic signal control through a counterfactual multi-agent deep actor critic approach,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.055108Z

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Observation f62608a9-4b70-4675-81c2-eea25062e1b6 · outbound

This paper cites Robust model-free reinforce- ment learning with multi-objective bayesian optimization,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Robust model-free reinforce- ment learning with multi-objective bayesian optimization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.042125Z

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Observation 261e97b3-09bf-4507-8c93-8604dc002009 · outbound

This paper cites Approximate inference of traffic flow state at signalized intersections using a bayesian learning framework,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Approximate inference of traffic flow state at signalized intersections using a bayesian learning framework,

Reference 33

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Observation 35711dc3-6e99-47e8-bfe1-3d23c3a0934d · outbound

This paper cites Presslight: Learning max pressure control to coordinate traffic signals in arterial network,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Presslight: Learning max pressure control to coordinate traffic signals in arterial network,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.018169Z

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Observation 28f93188-8de8-447d-9337-ab3276f753a2 · outbound

This paper cites Smoothing-mp: A novel max- pressure signal control considering signal coordination to smooth traffic in urban networks,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Smoothing-mp: A novel max- pressure signal control considering signal coordination to smooth traffic in urban networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.005750Z

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Observation 13524095-bb8d-4500-bdab-1c890b7c147a · outbound

This paper cites Two-layer adaptive sig- nal control framework for large-scale dynamically-congested networks: Combining efficient max pressure with perimeter control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Two-layer adaptive sig- nal control framework for large-scale dynamically-congested networks: Combining efficient max pressure with perimeter control,

Reference 36

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This paper cites Gp- light: Grouped multi-agent reinforcement learning for large-scale traffic signal control.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Gp- light: Grouped multi-agent reinforcement learning for large-scale traffic signal control

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.985392Z

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Observation 43aa347a-7251-4acf-9c71-afa4a1b2f49c · outbound

This paper cites Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:56.159153Z

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Observation 403da50e-7848-42a9-9e8e-161a41dc498e · outbound

This paper cites Q-learning,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Q-learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.972536Z

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Observation 5ebc760f-9b04-4584-86af-e234fbb19bf5 · outbound

This paper cites Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,

Reference 40

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Observation c0955b32-5bf3-4f65-83ab-2e9a8a1183fd · outbound

This paper cites Traffic signal timing manual,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Traffic signal timing manual,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.951814Z

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Observation 84f3c65a-a02d-414d-9885-ed6a5439dcff · outbound

This paper cites Max pressure control of a network of signalized intersec- tions,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Max pressure control of a network of signalized intersec- tions,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.940695Z

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Observation bb8e36c8-4f85-4db5-9cba-49dcbc2dfb4b · outbound

This paper cites Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.929515Z

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Observation b531f9fa-820c-4dc0-b146-7b5b6673f6c0 · outbound

This paper cites Attendlight: Universal attention-based reinforcement learning model for traffic signal control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Attendlight: Universal attention-based reinforcement learning model for traffic signal control,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.917915Z

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Observation f9f2cb8b-686b-43a2-b190-66fa1bb0ab1a · outbound

This paper cites Presslight: Learning max pressure control to coordinate traffic signals in arterial network,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Presslight: Learning max pressure control to coordinate traffic signals in arterial network,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T12:45:55.802761Z

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Observation 54a7c85a-43b3-490e-9b43-4811fbb92daa · outbound

This paper cites Colight: Learning network-level cooperation for traffic signal control,.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Colight: Learning network-level cooperation for traffic signal control,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:45:55.897344Z

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Observation fb7e9127-f490-4868-9c51-e55a126f1851 · outbound

This paper cites Efficient Pressure: Improving efficiency for signalized intersections.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control Efficient Pressure: Improving efficiency for signalized intersections

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T12:45:55.810340Z

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Observation 520c4d58-a62a-472c-b7cd-5d1ef53b535b · outbound

This paper cites LLMLight: Large Language Models as Traffic Signal Control Agents.

Bayesian Critique-Tune-Based Reinforcement Learning with Adaptive Pressure for Multi-Intersection Traffic Signal Control LLMLight: Large Language Models as Traffic Signal Control Agents

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:45:55.814389Z

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