Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:45:48.307747Z
Paper Citation Record · LEDGER
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
As of 23 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:1908.10577.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
68 of 68 outbound references displayed
- verified exact1
- verified fuzzy61
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 44a41484-d7ea-45c8-aed5-65f8e740cb89 · outbound
This paper cites Traffic’s mind-boggling economic toll,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Traffic’s mind-boggling economic toll,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.720208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 158320cd-e432-46d0-9b4c-4511dfdc77d9 · outbound
This paper cites Exploring the so- cial learning of taxi drivers in latent vehicle-to-vehicle networks,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Exploring the so- cial learning of taxi drivers in latent vehicle-to-vehicle networks,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.694581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ca5d6be0-3b31-4d7d-8613-d72c4a4959af · outbound
This paper cites Bidirectionally coupled network and road traffic simulation for improved IVC analysis,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Bidirectionally coupled network and road traffic simulation for improved IVC analysis,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.672156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b12744c8-69d8-45a6-935b-ea46949ff69c · outbound
This paper cites Block simplex signal recovery: Methods, trade-offs, and an application to routing,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Block simplex signal recovery: Methods, trade-offs, and an application to routing,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.653950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e77d8205-b154-4228-bf1d-fd54594b9c02 · outbound
This paper cites Re- grets in routing networks: Measuring the impact of routing apps in traffic,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Re- grets in routing networks: Measuring the impact of routing apps in traffic,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.636431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2db67a4d-9018-47c0-a141-3967aeb8fe6b · outbound
This paper cites Competitive analysis for points of interest,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Competitive analysis for points of interest,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.617718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8a0a5991-58fa-4982-869e-4a5c104f5544 · outbound
This paper cites Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Semi-supervised hierarchical recurrent graph neural network for city-wide parking availability prediction,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.599939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation acac9a22-9b73-4591-bd7c-f6127aaadedc · outbound
This paper cites Settings for fixed-cycle traffic signals,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Settings for fixed-cycle traffic signals,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.583029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 116bbfb8-bd05-4e45-ad03-7199acbd5eef · outbound
This paper cites Traffic network micro- simulation model and control algorithm based on approximate dynamic programming,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Traffic network micro- simulation model and control algorithm based on approximate dynamic programming,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.562976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cf641cb6-6db6-4b76-acc5-b84b2fcd74da · outbound
This paper cites Self-organizing traffic lights: A realistic simulation,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Self-organizing traffic lights: A realistic simulation,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.544550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8fabcb6e-f68e-4779-81ab-84c986d4fcb8 · outbound
This paper cites Intellilight: A reinforcement learning approach for intelligent traffic light control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Intellilight: A reinforcement learning approach for intelligent traffic light control,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.528381Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 893d9b57-5d26-47ed-a97b-72241cebb394 · outbound
This paper cites An experimental review of reinforcement learning algorithms for adaptive traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control An experimental review of reinforcement learning algorithms for adaptive traffic signal control,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.511907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3308ea27-009f-4402-9be6-dd7969bef892 · outbound
This paper cites Em- bed to control: A locally linear latent dynamics model for control from raw images,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Em- bed to control: A locally linear latent dynamics model for control from raw images,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.492347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 10206968-cff2-4fc7-b8e9-f9090f8e4c57 · outbound
This paper cites A comprehensive survey of multiagent reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control A comprehensive survey of multiagent reinforcement learning,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.472637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2e954b87-ff74-4477-8c95-62185da34279 · outbound
This paper cites Multiagent reinforcement learning for urban traffic control using coordination graphs,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multiagent reinforcement learning for urban traffic control using coordination graphs,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.454927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 37c8acfd-44eb-486b-941a-b3c0023df0d1 · outbound
This paper cites Graph attention networks,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Graph attention networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.438624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5c87fc6d-0c41-426e-a445-3258a4955876 · outbound
This paper cites Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown toronto,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (MARLIN-ATSC): methodology and large-scale application on downtown toronto,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.420160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 61ea6927-18d5-44c0-bf8f-938cbe1f2718 · outbound
This paper cites Adaptive multi-objective reinforce- ment learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Adaptive multi-objective reinforce- ment learning with hybrid exploration for traffic signal control based on cooperative multi-agent framework,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.400181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b5f95c68-d218-4758-8cc4-9616b0ea28c1 · outbound
This paper cites Reinforcement learning for true adaptive traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Reinforcement learning for true adaptive traffic signal control,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.373882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a377488e-7794-4e68-be80-82b70f67d372 · outbound
This paper cites An agent-based learning towards decentralized and coordinated traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control An agent-based learning towards decentralized and coordinated traffic signal control,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.350592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bde3929c-a86b-4967-a700-35d44f60eac8 · outbound
This paper cites Reinforcement learning of traffic light controllers adapting to traffic congestion.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Reinforcement learning of traffic light controllers adapting to traffic congestion
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.329959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4f791da3-ff3e-486b-b431-847b165fde09 · outbound
This paper cites Reinforcement learning- based multi-agent system for network traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Reinforcement learning- based multi-agent system for network traffic signal control,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.310553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f5aa3d17-e5c0-4ee5-94ea-9611bf7510b8 · outbound
This paper cites Time critic policy gradi- ent methods for traffic signal control in complex and congested scenarios,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Time critic policy gradi- ent methods for traffic signal control in complex and congested scenarios,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.287201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 313ad637-259a-410d-a15e-323cdb14f51a · outbound
This paper cites Coordinated deep reinforce- ment learners for traffic light control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Coordinated deep reinforce- ment learners for traffic light control,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.264735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 83e6ba56-6033-46ad-a548-c2778de42170 · outbound
This paper cites Collaborative multiagent reinforcement learning by payoff propagation,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Collaborative multiagent reinforcement learning by payoff propagation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.245209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7021a4dc-4b01-4d5b-be5b-c7bb0b5354ed · outbound
This paper cites Traffic light control by multiagent reinforcement learning systems,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Traffic light control by multiagent reinforcement learning systems,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.225927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 595abafc-dc3f-49bb-90fe-97538d30ed89 · outbound
This paper cites Multi-agent reinforcement learning for traffic light control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multi-agent reinforcement learning for traffic light control,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.207081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8fd6913a-c948-48ec-8de1-4d8b21f382d9 · outbound
This paper cites Multi-agent deep re- inforcement learning for large-scale traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multi-agent deep re- inforcement learning for large-scale traffic signal control,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.181539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a6cd2be8-ff6a-44c5-a9ad-aa832f51ccf0 · outbound
This paper cites Presslight: Learning max pressure control to coordinate traf- fic signals in arterial network,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Presslight: Learning max pressure control to coordinate traf- fic signals in arterial network,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.164616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 302f9cb1-03bc-468f-afd1-b68efef2d65b · outbound
This paper cites The max-pressure controller for arbitrary networks of signalized intersections,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control The max-pressure controller for arbitrary networks of signalized intersections,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.143211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 899a21da-ea05-430e-b4a1-6ee5d784f981 · outbound
This paper cites Traffic signal control based on reinforcement learning with graph convolutional neural nets,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Traffic signal control based on reinforcement learning with graph convolutional neural nets,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.124863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2bc5ba23-6388-4fe4-90a4-8cd273ed31f5 · outbound
This paper cites Colight: Learning network-level coop- eration for traffic signal control,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Colight: Learning network-level coop- eration for traffic signal control,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.105913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a88a1682-0eab-41f1-999d-7f07e032d79e · outbound
This paper cites A distributed virtual traf- fic light algorithm exploiting short range V2V communications,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control A distributed virtual traf- fic light algorithm exploiting short range V2V communications,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.079331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f87ca0f3-f27a-4c26-ac7a-271c558b3335 · outbound
This paper cites On the impact of virtual traffic lights on carbon emissions mitigation,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control On the impact of virtual traffic lights on carbon emissions mitigation,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.061347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 57b1c484-dc73-4cd7-b019-655a3474468a · outbound
This paper cites Cooperative multi- agent control using deep reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Cooperative multi- agent control using deep reinforcement learning,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.035416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8d32b7d9-1481-47e9-857a-e98295f7d729 · outbound
This paper cites Cooperative multi-agent learning: The state of the art,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Cooperative multi-agent learning: The state of the art,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:49.016351Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bb757b96-b408-45b0-be88-ddc9473ab041 · outbound
This paper cites Learning to communicate with deep multi-agent reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Learning to communicate with deep multi-agent reinforcement learning,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.996019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7226767f-784a-4bb0-b45e-a8d32738623f · outbound
This paper cites Learning multiagent communi- cation with backpropagation,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Learning multiagent communi- cation with backpropagation,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.974071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1eadf582-2121-495d-ac58-62d18de05739 · outbound
This paper cites Soft information for localization-of-things,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Soft information for localization-of-things,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.957328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 52b8fbc5-bb6d-49fe-9ea2-da65fde188d3 · outbound
This paper cites Network operation strategies for efficient localization and navigation,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Network operation strategies for efficient localization and navigation,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.940415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2fc9a315-37fc-448d-af51-df305f8603f3 · outbound
This paper cites Decen- tralized gaussian filters for cooperative self-localization and multi- target tracking,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Decen- tralized gaussian filters for cooperative self-localization and multi- target tracking,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.918454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 09aa34c3-ff4c-44f1-acf7-0a03a7f44abb · outbound
This paper cites Experiments with cooperative control of underwater robots,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Experiments with cooperative control of underwater robots,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.896127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c8d101c7-1ce0-48c0-956a-9636a0ffacb4 · outbound
This paper cites A multiple-goal reinforcement learning method for complex vehicle overtaking maneuvers,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control A multiple-goal reinforcement learning method for complex vehicle overtaking maneuvers,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.878109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bbd3d813-ed02-4f19-8cbc-32c4539ab0ec · outbound
This paper cites Playing atari with deep reinforce- ment learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Playing atari with deep reinforce- ment learning,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.859932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f1ff8fa7-8988-42a3-9ca5-9478e9b2b029 · outbound
This paper cites Multiagent cooperation and competition with deep reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multiagent cooperation and competition with deep reinforcement learning,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.844376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 66cab8c5-69ca-4792-9acd-4c172d509005 · outbound
This paper cites Empirically Evaluating Multiagent Learning Algorithms.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Empirically Evaluating Multiagent Learning Algorithms
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:45:48.464842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e13825ec-a69f-4145-a9a4-3704ec45e4f2 · outbound
This paper cites Multi-agent actor-critic for mixed cooperative-competitive envi- ronments,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multi-agent actor-critic for mixed cooperative-competitive envi- ronments,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.827187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2a29b7b3-fea7-49ad-bdee-de3746ca49e7 · outbound
This paper cites Graph convolutional reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Graph convolutional reinforcement learning,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.810673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 09bdebba-146f-45f5-8a06-dd77437e6100 · outbound
This paper cites The graph neural network model,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control The graph neural network model,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.793570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 01ed2b8b-4126-473f-89de-d49f295378d0 · outbound
This paper cites Relational inductive biases, deep learning, and graph networks.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Relational inductive biases, deep learning, and graph networks
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.208111Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5439466d-20c0-42d6-83b2-f6ade85ee7b6 · outbound
This paper cites Interaction networks for learning about objects, relations and physics,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Interaction networks for learning about objects, relations and physics,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.776672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3ee3df93-23ff-48ea-823d-87a884f7586c · outbound
This paper cites Gated Graph Sequence Neural Networks.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Gated Graph Sequence Neural Networks
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.219469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 214ed6f1-bcfe-4787-b72a-af5d48f055f5 · outbound
This paper cites Abductive learning: towards bridging machine learning and logical reasoning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Abductive learning: towards bridging machine learning and logical reasoning,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.754056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fcb5b43e-de9f-4fa7-a34a-01d9c8982090 · outbound
This paper cites Neural message passing for quantum chemistry,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Neural message passing for quantum chemistry,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.736076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bd291113-b441-45b3-bdd5-f0a93dc3e566 · outbound
This paper cites Nervenet: Learning structured policy with graph neural networks,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Nervenet: Learning structured policy with graph neural networks,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.719439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c08e14b8-a67c-4e23-9b3c-9a722addc514 · outbound
This paper cites Deep reinforcement learning with relational inductive biases,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Deep reinforcement learning with relational inductive biases,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.697677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f9e2c453-871e-4079-8f92-f4b3a2f2fe51 · outbound
This paper cites Simula- tion and optimization of traffic in a city,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Simula- tion and optimization of traffic in a city,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.675185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 773d0900-1cd0-4c6a-8b6f-2e69bd638e8d · outbound
This paper cites Long short-term memory,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Long short-term memory,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.652287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 15f7536a-bc79-4e39-8e60-6f937da1d7e2 · outbound
This paper cites Multi-agent reinforcement learning: Independent vs. co- operative agents,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Multi-agent reinforcement learning: Independent vs. co- operative agents,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.623179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 690c5017-3ee0-4f4b-afe4-f1fb9c1d6b80 · outbound
This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Empirical Evaluation of Rectified Activations in Convolutional Network
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.258361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a35ab8e-4995-4d2f-9506-93ab55193069 · outbound
This paper cites Attention is all you need,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Attention is all you need,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.599597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f04523d0-ce1a-466b-b8a7-1aac1cb44dea · outbound
This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.270953Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe03e030-8001-41ca-849f-c9abce395f59 · outbound
This paper cites Deep recurrent q-learning for partially observable mdps,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Deep recurrent q-learning for partially observable mdps,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.577534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a8e906e-8493-47ee-a6cc-bea68079167a · outbound
This paper cites Memory- based control with recurrent neural networks,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Memory- based control with recurrent neural networks,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.553898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f7590608-fac9-45a2-b589-dc30786d5173 · outbound
This paper cites Human-level control through deep reinforcement learning,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Human-level control through deep reinforcement learning,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.529343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e43ea87e-bda9-41ac-9c5d-7df1cc4dbcc0 · outbound
This paper cites Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T10:45:48.508432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 25087bb8-7e5d-4700-8a16-1ccb3267559c · outbound
This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.302772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fb11ab9-3f06-48d9-a85e-3ab926d6be2a · outbound
This paper cites Adam: A Method for Stochastic Optimization.
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control Adam: A Method for Stochastic Optimization
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T10:45:48.307747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.