Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning | Paper Citation Record

Observation 862c70f3-6737-415e-b002-0ab4058aeedb · outbound

This paper cites A survey on reinforcement learning models and algorithms for trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning A survey on reinforcement learning models and algorithms for trafﬁc signal control,

Reference 1

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Observation 0743ed74-8e87-492c-b770-dd00bc0deb2e · outbound

This paper cites Optimal bidding strategies in electricity markets using reinforcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Optimal bidding strategies in electricity markets using reinforcement learning,

Reference 2

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Observation fae89b98-f757-4268-88ef-bbf13c6eae91 · outbound

This paper cites Trafﬁc network micro-simulation model and control algorithm based on approximate dynamic program- ming,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Trafﬁc network micro-simulation model and control algorithm based on approximate dynamic program- ming,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.573039Z

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Observation 8b561d9e-f253-4155-ae5c-6439ba2305ba · outbound

This paper cites Trafﬁc signal timing manual.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Trafﬁc signal timing manual

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.559146Z

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Observation eb3252df-5987-4089-84c0-47b99324c6d5 · outbound

This paper cites Trafﬁc signal timing optimisation based on genetic algorithm approach, including drivers routing,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Trafﬁc signal timing optimisation based on genetic algorithm approach, including drivers routing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.544908Z

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Observation 2c6a11f6-e648-44f7-bd01-5f7bf02cfc1a · outbound

This paper cites Swarm intelligence for trafﬁc light scheduling: Application to real urban areas,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Swarm intelligence for trafﬁc light scheduling: Application to real urban areas,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.529730Z

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Observation 2f31f8c9-463a-4bb5-ae10-c283bd6e23d8 · outbound

This paper cites Two-stage fuzzy logic controller for signalized intersection,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Two-stage fuzzy logic controller for signalized intersection,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.516403Z

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Observation 497d1143-ece7-4eb0-8d0d-cf2e8762ce90 · outbound

This paper cites Neural networks for real- time trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Neural networks for real- time trafﬁc signal control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.502035Z

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Observation 2e336541-7ad3-4b39-9e89-f76d41316e33 · outbound

This paper cites an unresolved cited work.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Unresolved cited work

Reference 9

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Observation da685d31-04c6-4739-bd87-1c629057b9a9 · outbound

This paper cites Intelligent trafﬁc light control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Intelligent trafﬁc light control,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.481003Z

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Observation cbd5402d-b3cf-437f-9ccd-8b2f0bb7d6ea · outbound

This paper cites Reinforcement learning with function approximation for trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Reinforcement learning with function approximation for trafﬁc signal control,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.468406Z

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Observation 364456ff-24e4-42c2-84b3-3a626efff3c0 · outbound

This paper cites Deep learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Deep learning,

Reference 12

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Observation 8c5e1a01-e3e2-47e9-b93b-deace2bdc213 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Human-level control through deep reinforcement learning,

Reference 13

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Observation ab14d659-08be-4580-b0c9-9ff1b0a94387 · outbound

This paper cites Continuous control with deep reinforcement learning.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Continuous control with deep reinforcement learning

Reference 14

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Observation 0ae5d25a-afb5-4e36-ade1-02e8ed350072 · outbound

This paper cites Intellilight: A reinforcement learning approach for intelligent trafﬁc light control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Intellilight: A reinforcement learning approach for intelligent trafﬁc light control,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.441150Z

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Observation 1e01c356-8b7a-4d73-886a-6c0f64910947 · outbound

This paper cites Deep Deterministic Policy Gradient for Urban Traffic Light Control.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Deep Deterministic Policy Gradient for Urban Traffic Light Control

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.790452Z

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Observation 02a3cf30-6870-42f6-a414-8bd32077d9c5 · outbound

This paper cites The dynamics of reinforcement learning in cooperative multiagent systems,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning The dynamics of reinforcement learning in cooperative multiagent systems,

Reference 17

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Observation ae7a9682-bbc2-4d89-980d-0d42b2c68df3 · outbound

This paper cites A distributed approach for coordination between trafﬁc lights based on game theory.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning A distributed approach for coordination between trafﬁc lights based on game theory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.420105Z

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Observation f836fbc8-3693-4b4d-b336-a0ab1675ea5f · outbound

This paper cites Reinforcement learning-based multi-agent system for network trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Reinforcement learning-based multi-agent system for network trafﬁc signal control,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.407295Z

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Observation 2396dc4d-aad2-4bc3-b9f2-395c65d0ae4a · outbound

This paper cites Trafﬁc light control in non-stationary environments based on multi agent q-learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Trafﬁc light control in non-stationary environments based on multi agent q-learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.393708Z

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Observation 3fdde02c-6389-4454-a10b-c694ed59834d · outbound

This paper cites Multi-agent reinforcement learning: Independent vs. cooper- ative agents,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multi-agent reinforcement learning: Independent vs. cooper- ative agents,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.810031Z

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Observation 82d79b6f-06c2-41b9-a932-657bbaf5838c · outbound

This paper cites Multiagent rein- forcement learning for urban trafﬁc control using coordination graphs,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multiagent rein- forcement learning for urban trafﬁc control using coordination graphs,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.813622Z

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Observation 61fabeb4-c0da-4f8a-b317-e212c81b5d4b · outbound

This paper cites Multi-agent deep reinforcement learning for large-scale trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multi-agent deep reinforcement learning for large-scale trafﬁc signal control,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.818266Z

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Observation c570c8fe-b17d-49ce-8fa1-2c7a225282e8 · outbound

This paper cites Double q-learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Double q-learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.358925Z

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Observation 475937c2-5a97-4ea2-bb67-2a414718a093 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Finite-time analysis of the multiarmed bandit problem,

Reference 25

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Observation b0ace0a7-d999-4f1f-b5f1-5a5c7fae7b58 · outbound

This paper cites an unresolved cited work.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:10:19.338328Z

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Observation da88a2e6-83d8-4104-9f3a-de8336a58df4 · outbound

This paper cites Mean Field Multi-Agent Reinforcement Learning.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Mean Field Multi-Agent Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.836124Z

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Observation f998c9f5-81bf-48bb-bde4-7b37372a0ed2 · outbound

This paper cites Deep reinforcement learning with double q-learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Deep reinforcement learning with double q-learning,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.840220Z

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Observation afd3646e-a4cf-4466-92b2-9c496af9c4b2 · outbound

This paper cites The optimizers curse: Skepticism and postdecision surprise in decision analysis,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning The optimizers curse: Skepticism and postdecision surprise in decision analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.318237Z

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Observation 5ff7c61e-3442-4e4d-874f-4b63478a46ed · outbound

This paper cites Stochastic games,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Stochastic games,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.304412Z

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Observation 8d480387-ef36-4c35-8845-ed726e91073b · outbound

This paper cites Markov games as a framework for multi-agent rein- forcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Markov games as a framework for multi-agent rein- forcement learning,

Reference 31

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Observation d293c8be-9d44-4ce6-af4f-ec41e1881842 · outbound

This paper cites Multi-agent reinforce- ment learning for trafﬁc signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multi-agent reinforce- ment learning for trafﬁc signal control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.282806Z

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Observation d22cc704-e909-4aed-9ff8-e6d409aff68b · outbound

This paper cites Analyzing and visualizing multiagent rewards in dynamic and stochastic domains,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Analyzing and visualizing multiagent rewards in dynamic and stochastic domains,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.269195Z

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Observation 2e592a8c-c3e0-4f92-a23a-95a968294ae2 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environ- ments,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multi-agent actor-critic for mixed cooperative-competitive environ- ments,

Reference 34

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Observation 335ca4f3-b591-4bea-a568-577fbdef626b · outbound

This paper cites Efﬁcient ridesharing order dispatching with mean ﬁeld multi-agent reinforcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Efﬁcient ridesharing order dispatching with mean ﬁeld multi-agent reinforcement learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.256880Z

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Observation daa96648-8cf0-452a-b99b-a4f67ed73a2f · outbound

This paper cites Convergence of stochastic iterative dynamic programming algorithms,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Convergence of stochastic iterative dynamic programming algorithms,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.243667Z

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Observation de4f5e7d-33c1-4fec-8fa9-01f542c3a20a · outbound

This paper cites A uniﬁed analysis of value-function- based reinforcement-learning algorithms,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning A uniﬁed analysis of value-function- based reinforcement-learning algorithms,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.229580Z

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Observation 964c8418-0dc4-459e-bf6c-efda623bb842 · outbound

This paper cites Adaptive trafﬁc signal control with actor-critic methods in a real-world trafﬁc network with different trafﬁc disruption events,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Adaptive trafﬁc signal control with actor-critic methods in a real-world trafﬁc network with different trafﬁc disruption events,

Reference 38

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Observation d208bf45-36cf-455f-b257-b6c076dd30e5 · outbound

This paper cites Multiagent rein- forcement learning for integrated network of adaptive trafﬁc signal controllers (marlin-atsc): methodology and large-scale application on downtown toronto,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Multiagent rein- forcement learning for integrated network of adaptive trafﬁc signal controllers (marlin-atsc): methodology and large-scale application on downtown toronto,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.883638Z

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Observation f0c0fdeb-b8d2-43b7-b00c-c5a20bf228e7 · outbound

This paper cites Adaptive group-based signal control by reinforcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Adaptive group-based signal control by reinforcement learning,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.200745Z

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Observation 627abbdb-8de3-4d5e-b3ec-d5ce4826bd65 · outbound

This paper cites Cooperative deep reinforcement learning for large-scale trafﬁc grid signal control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Cooperative deep reinforcement learning for large-scale trafﬁc grid signal control,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.891267Z

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Observation 16e57bbd-97b8-40c1-a9db-edcc42bb39a8 · outbound

This paper cites Large-scale trafﬁc grid signal control with regional reinforcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Large-scale trafﬁc grid signal control with regional reinforcement learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.180106Z

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Observation e9d04554-b067-4850-9738-ed08298f4467 · outbound

This paper cites Monaco sumo trafﬁc (most) scenario: A 3d mobility scenario for cooperative its,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Monaco sumo trafﬁc (most) scenario: A 3d mobility scenario for cooperative its,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.167910Z

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Observation f373a301-af4c-4aac-bac8-43b72162dd9c · outbound

This paper cites Agent-based trafﬁc ﬂow optimization at multiple signalized intersec- tions,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Agent-based trafﬁc ﬂow optimization at multiple signalized intersec- tions,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.156126Z

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Observation 18e7ebba-152a-460b-9f76-23547abc2355 · outbound

This paper cites OpenAI Gym.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning OpenAI Gym

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.905728Z

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Observation bc7489e9-9b59-449f-8622-65553bed4db4 · outbound

This paper cites Sim2real viewpoint invariant visual servoing by recurrent control,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Sim2real viewpoint invariant visual servoing by recurrent control,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.143343Z

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Observation 7d4ccbfe-874b-4dd7-98d3-c954d9ce3ae6 · outbound

This paper cites Feudal networks for hierarchical rein- forcement learning,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Feudal networks for hierarchical rein- forcement learning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.131139Z

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Observation 84a59941-8c86-4cb4-a2b7-dd6bc8de423c · outbound

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

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Max pressure control of a network of signalized intersec- tions,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-14T14:10:18.917795Z

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Observation 00ed7121-abb7-4300-b0ff-a4343132512d · outbound

This paper cites Distributed trafﬁc signal control using the cell transmission model via the alternating direction method of multipliers,.

Large-Scale Traffic Signal Control Using a Novel Multi-Agent Reinforcement Learning Distributed trafﬁc signal control using the cell transmission model via the alternating direction method of multipliers,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:10:19.109503Z

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